From ffcdf2a36d83883a929f2484219854cf774298d4 Mon Sep 17 00:00:00 2001 From: Birm Date: Thu, 12 Sep 2024 11:50:21 -0400 Subject: [PATCH 1/8] update upload-artifact to v4 --- .github/workflows/draft-paper.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/draft-paper.yml b/.github/workflows/draft-paper.yml index f62d314..1110415 100644 --- a/.github/workflows/draft-paper.yml +++ b/.github/workflows/draft-paper.yml @@ -17,7 +17,7 @@ jobs: # This should be the path to the paper within your repo. paper-path: paper.md - name: Upload - uses: actions/upload-artifact@v1 + uses: actions/upload-artifact@v4 with: name: paper # This is the output path where Pandoc will write the compiled From 0b822aaa78077a6c8d5394f287dac912b5a4909e Mon Sep 17 00:00:00 2001 From: Birm Date: Thu, 12 Sep 2024 12:07:51 -0400 Subject: [PATCH 2/8] remove binsCount from vis which ignore it --- config/wines.json | 3 --- 1 file changed, 3 deletions(-) diff --git a/config/wines.json b/config/wines.json index ec60e49..3c28f16 100644 --- a/config/wines.json +++ b/config/wines.json @@ -43,7 +43,6 @@ "description": "Volatile and Citric Acidity", "chartType": "SCATTER_CHART", "fields": { "x": "volatile acidity", "y": "citric acid" }, - "binsCount": 30, "size": [2, 2], "priority": 50 }, @@ -55,7 +54,6 @@ "fields": { "y": ["citric acid", "volatile acidity", "sulphates", "residual sugar"] }, - "binsCount": 50, "size": [2, 2], "priority": 50 }, @@ -77,7 +75,6 @@ "description": "Sugar and pH scatter", "chartType": "SCATTER_CHART", "fields": { "x": "residual sugar", "y": "pH" }, - "binsCount": 50, "size": [2, 2], "priority": 50 }, From 7761ec1641ee19a69f0f2e8ab54f23eac09ac70d Mon Sep 17 00:00:00 2001 From: Birm Date: Thu, 12 Sep 2024 12:43:30 -0400 Subject: [PATCH 3/8] clarify readme, config --- README.md | 15 +++ config/clinical-vis-config.json | 201 ------------------------------ config/collection-vis-config.json | 129 ------------------- config/demo.json | 86 ------------- config/vis-config.json | 197 ----------------------------- config/wines.json | 13 +- docs/img/Bar.png | Bin 0 -> 6412 bytes docs/img/Density.png | Bin 0 -> 40557 bytes docs/img/Heatmap.png | Bin 0 -> 9452 bytes docs/img/Histogram.png | Bin 0 -> 13079 bytes docs/img/PC.png | Bin 0 -> 210870 bytes docs/img/Pie.png | Bin 0 -> 6593 bytes docs/img/Scatter.png | Bin 0 -> 48399 bytes docs/img/Table.png | Bin 0 -> 44704 bytes 14 files changed, 26 insertions(+), 615 deletions(-) delete mode 100644 config/clinical-vis-config.json delete mode 100644 config/collection-vis-config.json delete mode 100644 config/demo.json delete mode 100644 config/vis-config.json create mode 100644 docs/img/Bar.png create mode 100644 docs/img/Density.png create mode 100644 docs/img/Heatmap.png create mode 100644 docs/img/Histogram.png create mode 100644 docs/img/PC.png create mode 100644 docs/img/Pie.png create mode 100644 docs/img/Scatter.png create mode 100644 docs/img/Table.png diff --git a/README.md b/README.md index 0e8ebc8..45847ef 100644 --- a/README.md +++ b/README.md @@ -184,5 +184,20 @@ Additionally, the field “VISUALIZATION_VIEW_CONFIGURATION” contains a list o +## Visualization Types +| Chart Type | Use for | Photo | Fields | Other Configuration | +|----------------------|------------------------------|----------------------------|--------------------------------------|----------------------------| +| **PIE_CHART** | Proportions for distinct values of x. | | x | N/A | +| **BAR_CHART** | Total count of distinct values of x. | | x | N/A | +| **HISTOGRAM** | Binned continious values of x, with binsCount bins. | | x | binsCount: number of ranges to split x into | +| **SCATTER_CHART** | The relationship between two generally continious variables. | | x and y for the spatial axes values | N/A | +| **PARALLEL_COORDINATES** | Data points as lines going through a set of variables | | y: an array of each field to render in order. | N/A | +| **KM_CURVE** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | +| **DENSITY_2D** | Shows observation density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | +| **HEATMAP** | Uses color to show mean value of z for discrete-grouped observations by x and y. | | x and y for spatial arrangment of values, z for colors | N/A | +| **HORIZONTAL_BAR_CHART** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | +| **VIS_DATA_TABLE** | A tabular representation of data for columns supplied. | | (list of objects reprsenting fields to show in table) | Each object in the list has a 'dataKey' to find data in the source, and a 'label' to render the field as. | + + ## Interactive Demo Site [Eaglescope Demo](https://sharmalab.github.io/eaglescope/) diff --git a/config/clinical-vis-config.json b/config/clinical-vis-config.json deleted file mode 100644 index a0df0a0..0000000 --- a/config/clinical-vis-config.json +++ /dev/null @@ -1,201 +0,0 @@ -{ - "HOME_URL":"https://pathdb.cancerimagingarchive.net/", - "TITLE": "PRISM Clinical Explorer", - "HEIGHT_OF_VIS_HEADER": 30, - "MARGIN_OF_VIS": [10, 10], - "UNIT_OF_GRID_VIEW": [224,200], - "MARGIN_OF_GRID_VIEW": [10, 10], - "DATA_RESOURCE_URL":"https://pathdb.cancerimagingarchive.net/pathdb/sparql?format=csv&query=prefix+%3A+%3Chttps%3A%2F%2Fbmi.stonybrookmedicine.edu%2Ftil%2Fns%2F%3E%0ASELECT+*+WHERE+{graph+%3Chttps%3A%2F%2Fbmi.stonybrookmedicine.edu%2Ftil%3E+{%0A++++%3Fsss+%3APathDBID+%3FPathDBID%3B+%3Aclinicaltrialsubjectid+%3FslideID+.+%3Fss+%3Asubmitter_id+%3Fsubmitter_id%3B+%3Apercent_pos+%3Fpercent_pos%3B+%3ATIL_classhalf+%3FTIL_classhalf%3B+%3Acollapsed_stage+%3Fcollapsed_stage%3B+%3AsurvivalB+%3FsurvivalB+.+%3Fs%0A++++++%3Asubmitter_id+%3Fsubmitter_id%3B%0A++++++%3Aajcc_pathologic_stage+%3Fajcc_pathologic_stage%3B%0A++++++%3Aprimary_diagnosis+%3Fprimary_diagnosis%3B%0A++++++%3Aprior_malignancy+%3Fprior_malignancy%3B%0A++++++%3Avital_status+%3Fvital_status%3B%0A++++++%3Avital_status+%3Fvital_status%3B%0A++++++%3ABreast_Tumor_Type+%3FBreast_Tumor_Type%3B%0A++++++%3AsurvivalA+%3FsurvivalA%3B%0A++++++%3AslideID+%3FslideID%3B%0A++++++%3APercent_TILs_in_tumor_region+%3FPercent_TILs_in_tumor_region%3B%0A++++++%3AImmune_Subtype+%3FImmune_Subtype%3B%0A++++++%3AMolwxular_Cybersort_Lymphocytes+%3FMolwxular_Cybersort_Lymphocytes%3B%0A++++++%3AGlobal_Pattern+%3FGlobal_Pattern}}", - "DATA_FORMAT":"csv", - "VISUALIZATION_VIEW_CONFIGURATION": [ - { - "id": "vital_status", - "title": "Vital Status", - "description": "Showing the number of patients in Vital Status", - "chartType": "PIE_CHART", - "fields":{"x":"vital_status"}, - "size": [1, 1], - "priority": 60 - }, - { - "id": "breast_tumor_type", - "title": "Breast Tumor Type", - "description": "Showing the number of patients in Vital Status", - "chartType": "PIE_CHART", - "fields":{"x":"Breast_Tumor_Type"}, - "size": [1, 1], - "priority": 60 - }, - { - "id": "ajcc_pathologic_stage", - "title": "Pathologic Stage Count", - "description": "Showing the number of patients in Pathologic Stage", - "chartType": "BAR_CHART", - "fields":{"x":"ajcc_pathologic_stage"}, - "size": [2, 1], - "priority": 50 - }, - { - "id": "km_curve", - "title": "TIL Infiltration", - "description": "KM_CURVE", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - - }, - "size": [2, 2], - "priority": 5 - }, - { - "id": "basal_km_curve", - "title": "Basal KM Curve", - "description": "Basal KM Curve", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - }, - "filter":{"field":"Breast_Tumor_Type","value":"Basal"}, - "size": [2, 2], - "priority": 5 - },{ - "id": "her2_km_curve", - "title": "Her2 KM Curve", - "description": "Her2 KM Curve", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - }, - "filter":{"field":"Breast_Tumor_Type","value":"Her2"}, - "size": [2, 2], - "priority": 5 - },{ - "id": "luma_km_curve", - "title": "LumaA KM Curve", - "description": "LumaA KM Curve", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - }, - "filter":{"field":"Breast_Tumor_Type","value":"LumA"}, - "size": [2, 2], - "priority": 5 - },{ - "id": "lumb_km_curve", - "title": "LumB KM Curve", - "description": "LumB KM Curve", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - }, - "filter":{"field":"Breast_Tumor_Type","value":"LumB"}, - "size": [2, 2], - "priority": 5 - }, - { - "id": "immune_subtype", - "title": "Immune Subtype", - "description": "Showing the number of patients in gender", - "chartType": "BAR_CHART", - "fields":{"x":"Immune_Subtype"}, - "size": [1, 1], - "priority": 50 - }, - { - "id": "global_pattern", - "title": "Global Pattern", - "description": "Showing the number of patients in gender", - "chartType": "HORIZONTAL_BAR_CHART", - "fields":{"y":"Global_Pattern"}, - "size": [1, 1], - "priority": 10 - }, - { - "id": "primary_diagnosis", - "title": "Primary Diagnosis", - "description": "Showing the number of patients in primary diagnosis", - "chartType": "HORIZONTAL_BAR_CHART", - "fields":{"y":"primary_diagnosis"}, - "size": [2, 2], - "priority": 20 - }, - { - "id": "TILPercent_survivalA_lymph_scatter", - "title": "TILs vs survivalA vs Lymph", - "description": "Showing the age and Age in scatter plot", - "chartType": "SCATTER_CHART", - "fields":{"x":"Percent_TILs_in_tumor_region","y":"survivalA","z":"Molwxular_Cybersort_Lymphocytes"}, - "size": [2, 2], - "priority": 30 - }, - { - "id":"clinical_data_table", - "title": "Clinical Data Table", - "description": "Showing Clinical Data", - "chartType": "VIS_DATA_TABLE", - "fields":[ - { - "dataKey":"submitter_id", - "label":"ID" - }, - { - "dataKey":"slideID", - "label":"Slide ID", - "link":{ - "url":"https://pathdb.cancerimagingarchive.net/caMicroscope/apps/viewer/viewer.html?mode=pathdb&slideId=", - "field":"PathDBID" - } - }, - { - "dataKey":"ajcc_pathologic_stage", - "label":"Pathologic Stage" - }, - { - "dataKey":"vital_status", - "label":"Vital Status" - }, - { - "dataKey":"Breast_Tumor_Type", - "label":"Breast Tumor Type" - }, - { - "dataKey":"survivalA", - "label":"Survival A" - },{ - "dataKey":"Percent_TILs_in_tumor_region", - "label":"TILs Percent" - },{ - "dataKey":"Immune_Subtype", - "label":"Immune Subtype" - },{ - "dataKey":"Molwxular_Cybersort_Lymphocytes", - "label":"Lymphocytes" - },{ - "dataKey":"Global_Pattern", - "label":"Global Pattern" - }], - "size": [4, 2], - "priority": 70 - } - ] -} \ No newline at end of file diff --git a/config/collection-vis-config.json b/config/collection-vis-config.json deleted file mode 100644 index e7730be..0000000 --- a/config/collection-vis-config.json +++ /dev/null @@ -1,129 +0,0 @@ -{ - "HOME_URL": "https://pathdb.cancerimagingarchive.net/", - "TITLE": "PRISM Collection Explorer", - "DISABLE_DRAGGING": "TRUE", - "HEIGHT_OF_VIS_HEADER": 30, - "MARGIN_OF_VIS": [10, 10], - "UNIT_OF_GRID_VIEW": [224, 200], - "MARGIN_OF_GRID_VIEW": [10, 10], - "DATA_RESOURCE_URL": "https://wolf.cci.emory.edu/resources/collections.json", - "DATA_FORMAT": "json", - "VISUALIZATION_VIEW_CONFIGURATION": [ - { - "id": "species", - "title": "Species", - "description": "Showing the number of collection in Species", - "chartType": "PIE_CHART", - "fields": { "x": "species" }, - "size": [1, 1], - "priority": 10 - }, - { - "id": "access", - "title": "Collection Access", - "description": "Showing the number of collection in Access", - "chartType": "PIE_CHART", - "fields": { "x": "access" }, - "size": [1, 1], - "priority": 60 - }, - { - "id": "status", - "title": "Collection Status", - "description": "Showing the number of collection in Status", - "chartType": "PIE_CHART", - "fields": { "x": "status" }, - "size": [1, 1], - "priority": 60 - }, - { - "id": "location", - "title": "Cancer Location", - "description": "Showing the number of collection in Cancer Location", - "chartType": "HORIZONTAL_BAR_CHART", - "fields": { "y": "location" }, - "size": [2, 2], - "priority": 50 - }, - { - "id": "image_types", - "title": "Image Types", - "description": "Showing the number of patients in gender", - "chartType": "BAR_CHART", - "fields": { "x": "image_types" }, - "size": [2, 1], - "priority": 50 - }, - { - "id": "cancer_type", - "title": "Cancer Type", - "description": "Showing the number of collection in image types", - "chartType": "HORIZONTAL_BAR_CHART", - "fields": { "y": "cancer_type" }, - "size": [2, 2], - "priority": 10 - }, - { - "id": "supporting_data", - "title": "Supporting Data", - "description": "", - "chartType": "BAR_CHART", - "fields": { "x": "supporting_data" }, - "size": [2, 1], - "priority": 60 - }, - { - "id": "collection_data_table", - "title": "Collection Data Table", - "description": "Showing Collection Data", - "chartType": "VIS_DATA_TABLE", - "fields": [ - { - "dataKey": "collection", - "label": "Collection", - "link": { - "url": "http://localhost:1234/?template=clinical" - } - }, - { - "dataKey": "cancer_type", - "label": "Cancer Type" - }, - { - "dataKey": "location", - "label": "Location" - }, - { - "dataKey": "species", - "label": "Species" - }, - { - "dataKey": "subject", - "label": "Subject" - }, - { - "dataKey": "image_types", - "label": "Image Types" - }, - { - "dataKey": "supporting_data", - "label": "Supporting Data" - }, - { - "dataKey": "access", - "label": "Access" - }, - { - "dataKey": "status", - "label": "Status" - }, - { - "dataKey": "updated", - "label": "Updated" - } - ], - "size": [4, 2], - "priority": 70 - } - ] -} diff --git a/config/demo.json b/config/demo.json deleted file mode 100644 index 0b10c3f..0000000 --- a/config/demo.json +++ /dev/null @@ -1,86 +0,0 @@ -{ - "HOME_URL": "https://pathdb.cancerimagingarchive.net/", - "TITLE": "PRISM Collection Explorer", - "UNIT_OF_GRID_VIEW": [230, 230], - "MARGIN_OF_GRID_VIEW": [10, 10], - "DATA_RESOURCE_URL": "./config/wines.csv", - "DATA_FORMAT": "csv", - "THEME_COLOR": "#007bff", - "VISUALIZATION_VIEW_CONFIGURATION": [ - { - "id": "quality", - "title": "Quality Level", - "description": "Quality Level", - "chartType": "BAR_CHART", - "fields": { "x": "quality_label" }, - "size": [2, 1], - "priority": 50 - }, - { - "id": "v_acidity", - "title": "Volatile Acidity", - "description": "Volatile Acidity", - "chartType": "HISTOGRAM", - "fields": { "x": "volatile acidity" }, - "binsCount": 50, - "size": [2, 1], - "priority": 50 - }, - { - "id": "vc_acidity", - "title": "Volatile and Citric Acidity", - "description": "Volatile and Citric Acidity", - "chartType": "SCATTER_CHART", - "fields": { "x": "volatile acidity", "y": "citric acid" }, - "binsCount": 30, - "size": [2, 2], - "priority": 50 - }, - { - "id": "props", - "title": "Properties", - "description": "Properties", - "chartType": "PARALLEL_COORDINATES", - "fields": { - "y": ["citric acid", "volatile acidity", "sulphates", "residual sugar"] - }, - "binsCount": 50, - "size": [2, 2], - "priority": 50 - }, - { - "id": "density", - "title": "Properties", - "description": "Properties", - "chartType": "DENSITY_2D", - "fields": { - "x": "residual sugar", - "y": "free sulfur dioxide" - }, - "size": [2, 1], - "priority": 50 - }, - { - "id": "heatmap", - "title": "Heatmap", - "description": "Heatmap", - "chartType": "HEATMAP", - "fields": { - "y": "wine_type", - "x": "quality_label", - "z": "residual sugar" - }, - "size": [2, 1], - "priority": 50 - }, - { - "id": "type", - "title": "Wine Type", - "description": "Wine Type", - "chartType": "PIE_CHART", - "fields": { "x": "wine_type" }, - "size": [1, 1], - "priority": 50 - } - ] -} diff --git a/config/vis-config.json b/config/vis-config.json deleted file mode 100644 index b23e0f7..0000000 --- a/config/vis-config.json +++ /dev/null @@ -1,197 +0,0 @@ -{ - "UNIT_OF_GRID_VIEW": [224,200], - "MARGIN_OF_GRID_VIEW": [10, 10], - "DATA_RESOURCE_URL":"https://pathdb.cancerimagingarchive.net/pathdb/sparql?format=csv&query=prefix+%3A+%3Chttps%3A%2F%2Fbmi.stonybrookmedicine.edu%2Ftil%2Fns%2F%3E%0ASELECT+*+WHERE+{graph+%3Chttps%3A%2F%2Fbmi.stonybrookmedicine.edu%2Ftil%3E+{%0A++++%3Fsss+%3APathDBID+%3FPathDBID%3B+%3Aclinicaltrialsubjectid+%3FslideID+.+%3Fss+%3Asubmitter_id+%3Fsubmitter_id%3B+%3Apercent_pos+%3Fpercent_pos%3B+%3ATIL_classhalf+%3FTIL_classhalf%3B+%3Acollapsed_stage+%3Fcollapsed_stage%3B+%3AsurvivalB+%3FsurvivalB+.+%3Fs%0A++++++%3Asubmitter_id+%3Fsubmitter_id%3B%0A++++++%3Aajcc_pathologic_stage+%3Fajcc_pathologic_stage%3B%0A++++++%3Aprimary_diagnosis+%3Fprimary_diagnosis%3B%0A++++++%3Aprior_malignancy+%3Fprior_malignancy%3B%0A++++++%3Avital_status+%3Fvital_status%3B%0A++++++%3Avital_status+%3Fvital_status%3B%0A++++++%3ABreast_Tumor_Type+%3FBreast_Tumor_Type%3B%0A++++++%3AsurvivalA+%3FsurvivalA%3B%0A++++++%3AslideID+%3FslideID%3B%0A++++++%3APercent_TILs_in_tumor_region+%3FPercent_TILs_in_tumor_region%3B%0A++++++%3AImmune_Subtype+%3FImmune_Subtype%3B%0A++++++%3AMolwxular_Cybersort_Lymphocytes+%3FMolwxular_Cybersort_Lymphocytes%3B%0A++++++%3AGlobal_Pattern+%3FGlobal_Pattern}}", - "DATA_FORMAT":"csv", - "VISUALIZATION_VIEW_CONFIGURATION": [ - { - "id": "vital_status", - "title": "Vital Status", - "description": "Showing the number of patients in Vital Status", - "chartType": "PIE_CHART", - "fields":{"x":"vital_status"}, - "size": [1, 1], - "priority": 60 - }, - { - "id": "breast_tumor_type", - "title": "Breast Tumor Type", - "description": "Showing the number of patients in Vital Status", - "chartType": "PIE_CHART", - "fields":{"x":"Breast_Tumor_Type"}, - "size": [1, 1], - "priority": 60 - }, - { - "id": "ajcc_pathologic_stage", - "title": "Pathologic Stage Count", - "description": "Showing the number of patients in Pathologic Stage", - "chartType": "BAR_CHART", - "fields":{"x":"ajcc_pathologic_stage"}, - "size": [2, 1], - "priority": 50 - }, - { - "id": "km_curve", - "title": "TIL Infiltration", - "description": "KM_CURVE", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - - }, - "size": [2, 2], - "priority": 5 - }, - { - "id": "basal_km_curve", - "title": "Basal KM Curve", - "description": "Basal KM Curve", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - }, - "filter":{"field":"Breast_Tumor_Type","value":"Basal"}, - "size": [2, 2], - "priority": 5 - },{ - "id": "her2_km_curve", - "title": "Her2 KM Curve", - "description": "Her2 KM Curve", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - }, - "filter":{"field":"Breast_Tumor_Type","value":"Her2"}, - "size": [2, 2], - "priority": 5 - },{ - "id": "luma_km_curve", - "title": "LumaA KM Curve", - "description": "LumaA KM Curve", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - }, - "filter":{"field":"Breast_Tumor_Type","value":"LumA"}, - "size": [2, 2], - "priority": 5 - },{ - "id": "lumb_km_curve", - "title": "LumB KM Curve", - "description": "LumB KM Curve", - "chartType": "KM_CURVE", - "fields":{ - "event":{"field":"vital_status","title":"Vital Status"}, - "time":{"field":"survivalB","title":"Survival","unit":"month"}, - "group":{"field":"TIL_classhalf","title":"TIL Infiltration"}, - "eventValue":"Dead", - "censoredValue":"Alive" - }, - "filter":{"field":"Breast_Tumor_Type","value":"LumB"}, - "size": [2, 2], - "priority": 5 - }, - { - "id": "immune_subtype", - "title": "Immune Subtype", - "description": "Showing the number of patients in gender", - "chartType": "BAR_CHART", - "fields":{"x":"Immune_Subtype"}, - "size": [1, 1], - "priority": 50 - }, - { - "id": "global_pattern", - "title": "Global Pattern", - "description": "Showing the number of patients in gender", - "chartType": "HORIZONTAL_BAR_CHART", - "fields":{"y":"Global_Pattern"}, - "size": [1, 1], - "priority": 10 - }, - { - "id": "primary_diagnosis", - "title": "Primary Diagnosis", - "description": "Showing the number of patients in primary diagnosis", - "chartType": "HORIZONTAL_BAR_CHART", - "fields":{"y":"primary_diagnosis"}, - "size": [2, 2], - "priority": 20 - }, - { - "id": "TILPercent_survivalA_lymph_scatter", - "title": "TILs vs survivalA vs Lymph", - "description": "Showing the age and Age in scatter plot", - "chartType": "SCATTER_CHART", - "fields":{"x":"Percent_TILs_in_tumor_region","y":"survivalA","z":"Molwxular_Cybersort_Lymphocytes"}, - "size": [2, 2], - "priority": 30 - }, - { - "id":"clinical_data_table", - "title": "Clinical Data Table", - "description": "Showing Clinical Data", - "chartType": "VIS_DATA_TABLE", - "fields":[ - { - "dataKey":"submitter_id", - "label":"ID" - }, - { - "dataKey":"slideID", - "label":"Slide ID", - "link":{ - "url":"https://pathdb.cancerimagingarchive.net/caMicroscope/apps/viewer/viewer.html?mode=pathdb&slideId=", - "field":"PathDBID" - } - }, - { - "dataKey":"ajcc_pathologic_stage", - "label":"Pathologic Stage" - }, - { - "dataKey":"vital_status", - "label":"Vital Status" - }, - { - "dataKey":"Breast_Tumor_Type", - "label":"Breast Tumor Type" - }, - { - "dataKey":"survivalA", - "label":"Survival A" - },{ - "dataKey":"Percent_TILs_in_tumor_region", - "label":"TILs Percent" - },{ - "dataKey":"Immune_Subtype", - "label":"Immune Subtype" - },{ - "dataKey":"Molwxular_Cybersort_Lymphocytes", - "label":"Lymphocytes" - },{ - "dataKey":"Global_Pattern", - "label":"Global Pattern" - }], - "size": [4, 2], - "priority": 70 - } - ] -} \ No newline at end of file diff --git a/config/wines.json b/config/wines.json index 3c28f16..1c33ccf 100644 --- a/config/wines.json +++ b/config/wines.json @@ -24,7 +24,16 @@ "description": "Quality Level", "chartType": "BAR_CHART", "fields": { "x": "quality_label" }, - "size": [2, 1], + "size": [1, 1], + "priority": 50 + }, + { + "id": "histogram", + "title": "Quality, Wine Type, and Sugar", + "description": "Quality, Wine Type, and Sugar Heatmap", + "chartType": "HEATMAP", + "fields": { "x": "quality_label", "y": "wine_type", "z":"residual sugar" }, + "size": [2, 2], "priority": 50 }, { @@ -34,7 +43,7 @@ "chartType": "HISTOGRAM", "fields": { "x": "volatile acidity" }, "binsCount": 50, - "size": [2, 1], + "size": [2, 2], "priority": 50 }, { diff --git a/docs/img/Bar.png b/docs/img/Bar.png new file mode 100644 index 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znoegD#9$y$KlX=9=AU6Y;`h2aHw-=2+@@oWq7ZhGq+V@0`SV($|IPj&mI>cR|Fh_x ziAYoubG5$Fd@9ctS4vw2xzU6i=x!r~r8?Dg5QxDuEOT2~h%U#Aj}sPY zqQqI8R^L^q6t_kTpPra8JLCS1LQrsN2Eoi7OZ2TK)9t|xF_FW3HJD_>>EfLex79&t zvaq={<_w_Ubi}Ez=xP4VL)Zo)|I!crAtopOp`!Wxs=8NCx4L$wsj_p~Ne zNp#pGa!0EJ$tcGg*I3P;9dty!mX;ZfP8reHl9@jd!-h{yQ-Dr7{N8I9V zh>2d41ETNmL-?K_VFuh=Z=n`yyIv!nAUEl7T}_BW+#_3!w6CG&5hsFwFG=|7zP1(Se2b$+x;4e-_7*Y(>kWJUlVRp(Kh() zV4ZHxB`i$mof!*yYIrpM=5(YQOveTj)GK==_@JOF^DMzyCebFJi=$2h{-xUB^pJI{Tm&Q7P5q>Wj6shfxmLlqu zA4_nq3)!(04asYF+qC|cLnjV@R%z;=p;`N2I)M_Q*3$bcNHhSm(GO;*!t^fbn5kz? ziZVB(XP_AbUoS2R<1;lhR+IXsrAKTpHzQK}*TG5jgWH7F))*_ zBpw%0)ua6d4*XG)Q Date: Thu, 12 Sep 2024 12:44:34 -0400 Subject: [PATCH 4/8] 50 px is too small --- README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 45847ef..4500dd9 100644 --- a/README.md +++ b/README.md @@ -187,16 +187,16 @@ Additionally, the field “VISUALIZATION_VIEW_CONFIGURATION” contains a list o ## Visualization Types | Chart Type | Use for | Photo | Fields | Other Configuration | |----------------------|------------------------------|----------------------------|--------------------------------------|----------------------------| -| **PIE_CHART** | Proportions for distinct values of x. | | x | N/A | -| **BAR_CHART** | Total count of distinct values of x. | | x | N/A | -| **HISTOGRAM** | Binned continious values of x, with binsCount bins. | | x | binsCount: number of ranges to split x into | -| **SCATTER_CHART** | The relationship between two generally continious variables. | | x and y for the spatial axes values | N/A | -| **PARALLEL_COORDINATES** | Data points as lines going through a set of variables | | y: an array of each field to render in order. | N/A | +| **PIE_CHART** | Proportions for distinct values of x. | | x | N/A | +| **BAR_CHART** | Total count of distinct values of x. | | x | N/A | +| **HISTOGRAM** | Binned continious values of x, with binsCount bins. | | x | binsCount: number of ranges to split x into | +| **SCATTER_CHART** | The relationship between two generally continious variables. | | x and y for the spatial axes values | N/A | +| **PARALLEL_COORDINATES** | Data points as lines going through a set of variables | | y: an array of each field to render in order. | N/A | | **KM_CURVE** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **DENSITY_2D** | Shows observation density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **HEATMAP** | Uses color to show mean value of z for discrete-grouped observations by x and y. | | x and y for spatial arrangment of values, z for colors | N/A | +| **DENSITY_2D** | Shows observation density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | +| **HEATMAP** | Uses color to show mean value of z for discrete-grouped observations by x and y. | | x and y for spatial arrangment of values, z for colors | N/A | | **HORIZONTAL_BAR_CHART** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **VIS_DATA_TABLE** | A tabular representation of data for columns supplied. | | (list of objects reprsenting fields to show in table) | Each object in the list has a 'dataKey' to find data in the source, and a 'label' to render the field as. | +| **VIS_DATA_TABLE** | A tabular representation of data for columns supplied. | | (list of objects reprsenting fields to show in table) | Each object in the list has a 'dataKey' to find data in the source, and a 'label' to render the field as. | ## Interactive Demo Site From e3afa9a79b697e758619472499d1c58c53282956 Mon Sep 17 00:00:00 2001 From: Birm Date: Thu, 12 Sep 2024 12:47:05 -0400 Subject: [PATCH 5/8] override image squeeze --- README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 4500dd9..c83fe2e 100644 --- a/README.md +++ b/README.md @@ -187,16 +187,16 @@ Additionally, the field “VISUALIZATION_VIEW_CONFIGURATION” contains a list o ## Visualization Types | Chart Type | Use for | Photo | Fields | Other Configuration | |----------------------|------------------------------|----------------------------|--------------------------------------|----------------------------| -| **PIE_CHART** | Proportions for distinct values of x. | | x | N/A | -| **BAR_CHART** | Total count of distinct values of x. | | x | N/A | -| **HISTOGRAM** | Binned continious values of x, with binsCount bins. | | x | binsCount: number of ranges to split x into | -| **SCATTER_CHART** | The relationship between two generally continious variables. | | x and y for the spatial axes values | N/A | -| **PARALLEL_COORDINATES** | Data points as lines going through a set of variables | | y: an array of each field to render in order. | N/A | +| **PIE_CHART** | Proportions for distinct values of x. | | x | N/A | +| **BAR_CHART** | Total count of distinct values of x. | | x | N/A | +| **HISTOGRAM** | Binned continious values of x, with binsCount bins. | | x | binsCount: number of ranges to split x into | +| **SCATTER_CHART** | The relationship between two generally continious variables. | | x and y for the spatial axes values | N/A | +| **PARALLEL_COORDINATES** | Data points as lines going through a set of variables | | y: an array of each field to render in order. | N/A | | **KM_CURVE** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **DENSITY_2D** | Shows observation density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **HEATMAP** | Uses color to show mean value of z for discrete-grouped observations by x and y. | | x and y for spatial arrangment of values, z for colors | N/A | +| **DENSITY_2D** | Shows observation density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | +| **HEATMAP** | Uses color to show mean value of z for discrete-grouped observations by x and y. | | x and y for spatial arrangment of values, z for colors | N/A | | **HORIZONTAL_BAR_CHART** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **VIS_DATA_TABLE** | A tabular representation of data for columns supplied. | | (list of objects reprsenting fields to show in table) | Each object in the list has a 'dataKey' to find data in the source, and a 'label' to render the field as. | +| **VIS_DATA_TABLE** | A tabular representation of data for columns supplied. | | (list of objects reprsenting fields to show in table) | Each object in the list has a 'dataKey' to find data in the source, and a 'label' to render the field as. | ## Interactive Demo Site From 49fbd41b661403f816b86de639b57c96f7742fed Mon Sep 17 00:00:00 2001 From: Birm Date: Thu, 12 Sep 2024 12:49:40 -0400 Subject: [PATCH 6/8] refactor table in hopes it helps --- README.md | 25 +++++++++++++------------ 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index c83fe2e..bb35db9 100644 --- a/README.md +++ b/README.md @@ -185,18 +185,19 @@ Additionally, the field “VISUALIZATION_VIEW_CONFIGURATION” contains a list o ## Visualization Types -| Chart Type | Use for | Photo | Fields | Other Configuration | -|----------------------|------------------------------|----------------------------|--------------------------------------|----------------------------| -| **PIE_CHART** | Proportions for distinct values of x. | | x | N/A | -| **BAR_CHART** | Total count of distinct values of x. | | x | N/A | -| **HISTOGRAM** | Binned continious values of x, with binsCount bins. | | x | binsCount: number of ranges to split x into | -| **SCATTER_CHART** | The relationship between two generally continious variables. | | x and y for the spatial axes values | N/A | -| **PARALLEL_COORDINATES** | Data points as lines going through a set of variables | | y: an array of each field to render in order. | N/A | -| **KM_CURVE** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **DENSITY_2D** | Shows observation density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **HEATMAP** | Uses color to show mean value of z for discrete-grouped observations by x and y. | | x and y for spatial arrangment of values, z for colors | N/A | -| **HORIZONTAL_BAR_CHART** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **VIS_DATA_TABLE** | A tabular representation of data for columns supplied. | | (list of objects reprsenting fields to show in table) | Each object in the list has a 'dataKey' to find data in the source, and a 'label' to render the field as. | +| Chart Type | Use for | Photo | Fields | Other Configuration | +|----------------------|------------------------------|--------------------------------------------------------------------------------------------|--------------------------------------|----------------------------| +| **PIE_CHART** | Proportions for distinct values of x. | | x | N/A | +| **BAR_CHART** | Total count of distinct values of x. | | x | N/A | +| **HISTOGRAM** | Binned continuous values of x, with binsCount bins. | | x | binsCount: number of ranges to split x into | +| **SCATTER_CHART** | The relationship between two generally continuous variables. | | x and y for the spatial axes values | N/A | +| **PARALLEL_COORDINATES** | Data points as lines going through a set of variables | | y: an array of each field to render in order. | N/A | +| **KM_CURVE** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | +| **DENSITY_2D** | Shows observation density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | +| **HEATMAP** | Uses color to show mean value of z for discrete-grouped observations by x and y. | | x and y for spatial arrangement of values, z for colors | N/A | +| **HORIZONTAL_BAR_CHART** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | +| **VIS_DATA_TABLE** | A tabular representation of data for columns supplied. | | (list of objects representing fields to show in table) | Each object in the list has a 'dataKey' to find data in the source, and a 'label' to render the field as. | + ## Interactive Demo Site From 85fe099c65b027c9e558c440b44b258f35408b9f Mon Sep 17 00:00:00 2001 From: Birm Date: Thu, 12 Sep 2024 12:54:36 -0400 Subject: [PATCH 7/8] try html table --- README.md | 85 ++++++++++++++++++++++++++++++++++++++++++++++--------- 1 file changed, 72 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index bb35db9..584f1e6 100644 --- a/README.md +++ b/README.md @@ -185,19 +185,78 @@ Additionally, the field “VISUALIZATION_VIEW_CONFIGURATION” contains a list o ## Visualization Types -| Chart Type | Use for | Photo | Fields | Other Configuration | -|----------------------|------------------------------|--------------------------------------------------------------------------------------------|--------------------------------------|----------------------------| -| **PIE_CHART** | Proportions for distinct values of x. | | x | N/A | -| **BAR_CHART** | Total count of distinct values of x. | | x | N/A | -| **HISTOGRAM** | Binned continuous values of x, with binsCount bins. | | x | binsCount: number of ranges to split x into | -| **SCATTER_CHART** | The relationship between two generally continuous variables. | | x and y for the spatial axes values | N/A | -| **PARALLEL_COORDINATES** | Data points as lines going through a set of variables | | y: an array of each field to render in order. | N/A | -| **KM_CURVE** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **DENSITY_2D** | Shows observation density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **HEATMAP** | Uses color to show mean value of z for discrete-grouped observations by x and y. | | x and y for spatial arrangement of values, z for colors | N/A | -| **HORIZONTAL_BAR_CHART** | Shows heatmap-like density in a 2d space of x,y. | | x and y for the spatial axes values | N/A | -| **VIS_DATA_TABLE** | A tabular representation of data for columns supplied. | | (list of objects representing fields to show in table) | Each object in the list has a 'dataKey' to find data in the source, and a 'label' to render the field as. | - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Chart TypeUse forPhotoFields
PIE_CHARTProportions for distinct values of x.Pie Chartx
BAR_CHARTTotal count of distinct values of x.Bar Chartx
HISTOGRAMBinned continuous values of x, with binsCount bins.Histogramx
SCATTER_CHARTThe relationship between two generally continuous variables.Scatter Chartx and y for the spatial axes values
PARALLEL_COORDINATESData points as lines going through a set of variables.Parallel Coordinatesy: an array of each field to render in order.
KM_CURVEShows heatmap-like density in a 2D space of x, y.x and y for the spatial axes values
DENSITY_2DShows observation density in a 2D space of x, y.Density 2Dx and y for the spatial axes values
HEATMAPUses color to show mean value of z for discrete-grouped observations by x and y.Heatmapx and y for spatial arrangement of values, z for colors
HORIZONTAL_BAR_CHARTShows heatmap-like density in a 2D space of x, y.x and y for the spatial axes values
VIS_DATA_TABLEA tabular representation of data for columns supplied.Data Table(list of objects representing fields to show in table)
## Interactive Demo Site From 811f24c23b1c2a4f34a5a5396ae13776c2fd51bd Mon Sep 17 00:00:00 2001 From: Birm Date: Thu, 12 Sep 2024 16:41:37 -0400 Subject: [PATCH 8/8] rework paper --- README.md | 6 ++-- paper.bib | 106 +++++++++++++++++++++++++++++++++++++++++++++--------- paper.md | 31 +++++++++++----- 3 files changed, 114 insertions(+), 29 deletions(-) diff --git a/README.md b/README.md index 584f1e6..d8bfbed 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ [

](.eaglescope.png) -Eaglescope is a configurable code-free interactive visualization and cohort selection tool designed for biomedical data exploration. It is designed to be hosted flexibly without the need for a dedicated server, and creates an interactive dashboard based upon a configuration file and either an API or data file. It uses visualizations of sets of features to describe and enable contextual filtering of the data. This allows for users to understand deeper patterns or anomalies within the data, and to create datasets specifically tuned to their requirements effortlessly. Eaglescope is typically utilized either as a tool to create refined datasets tailored for training and validating machine learning AI models, or as a central hub for further exploration, allowing users to seamlessly navigate to biomedical viewers such as DICOM or whole slide imaging (WSI) platforms. +Eaglescope is a configurable code-free interactive visualization and cohort definition and analysis tool designed for biomedical data exploration. It is designed to be hosted flexibly without the need for a dedicated server, and creates an interactive dashboard based upon a configuration file and either an API or data file. It uses visualizations of sets of features to describe and enable contextual filtering of the data. This allows for users to understand deeper patterns or anomalies within the data, and to create datasets specifically tuned to their requirements effortlessly. Eaglescope is typically utilized either as a tool to create refined datasets tailored for training and validating machine learning AI models, or as a central hub for further exploration, allowing users to seamlessly navigate to biomedical viewers such as DICOM or whole slide imaging (WSI) platforms. ![Interactive Contextual Visualizations](./ContextualVis.png) @@ -229,7 +229,7 @@ Additionally, the field “VISUALIZATION_VIEW_CONFIGURATION” contains a list o KM_CURVE Shows heatmap-like density in a 2D space of x, y. - x and y for the spatial axes values + Event, time, and group as objects including field and title. Also, eventValue, and censoredValue. DENSITY_2D @@ -245,7 +245,7 @@ Additionally, the field “VISUALIZATION_VIEW_CONFIGURATION” contains a list o HORIZONTAL_BAR_CHART - Shows heatmap-like density in a 2D space of x, y. + A horizontal bar chart. x and y for the spatial axes values diff --git a/paper.bib b/paper.bib index 8572a87..378179a 100644 --- a/paper.bib +++ b/paper.bib @@ -1,55 +1,127 @@ @software{bokeh, - title = {Bokeh: an interactive visualization library for modern web browsers}, - url = {https://github.com/bokeh/bokeh}, - author = {Bokeh Contributors}, - date = {2024}, + title = {Bokeh: An Interactive Visualization Library for Modern Web Browsers}, + url = {https://github.com/bokeh/bokeh}, + author = {Bokeh Contributors}, + date = {2024} } @article{cbioportal2013, author = {Gao, Jianjiong and Aksoy, Bulent Arman and Dogrusoz, Ugur and Dresdner, Gideon and Gross, Benjamin and Sumer, S Onur and Sun, Yichao and Jacobsen, Anders and Sinha, Rileen and Larsson, Erik and Cerami, Ethan and Sander, Chris and Schultz, Nikolaus}, - title = {Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal}, + title = {Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal}, journal = {Science Signaling}, - doi = {10.1126/scisignal.2004088}, year = {2013}, volume = {6}, - number = {269} + number = {269}, + doi = {10.1126/scisignal.2004088} } @inproceedings{datascope2017, author = {Iyer, Ganesh and DuttaDuwarah, Sapoonjyoti and Sharma, Ashish}, - title = {DataScope: Interactive visual exploratory dashboards for large multidimensional data}, + title = {DataScope: Interactive Visual Exploratory Dashboards for Large Multidimensional Data}, booktitle = {2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC)}, - doi = {10.1109/VAHC.2017.8387496}, year = {2017}, - pages = {17-23} + pages = {17--23}, + doi = {10.1109/VAHC.2017.8387496} } @article{nbia2020, author = {Nguyen, Tin and Shafi, Adib and Nguyen, Tuan-Minh and Schissler, A. Grant and Draghici, Sorin}, - title = {NBIA: a network-based integrative analysis framework - applied to pathway analysis}, - doi = {10.1038/s41598-020-60981-9}, + title = {NBIA: A Network-Based Integrative Analysis Framework - Applied to Pathway Analysis}, journal = {Scientific Reports}, year = {2020}, volume = {10}, - number = {1} + number = {1}, + doi = {10.1038/s41598-020-60981-9} } @article{tica2013, author = {Clark, Kenneth and Vendt, Bruce and Smith, Kirk and Freymann, John and Kirby, Justin and Moore, Stephen and Phillips, Stanley and Maffit, David and Pringle, Michael and Tarbox, Lawrence and Prior, Fred}, title = {The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository}, journal = {Journal of Digital Imaging}, - doi = {10.1007/s10278-013-9622-7}, year = {2013}, volume = {26}, number = {6}, - pages = {1045-1057} + pages = {1045--1057}, + doi = {10.1007/s10278-013-9622-7} } @article{prism2020, author = {Sharma, Ashish and Tarbox, Lawrence and Kurc, Tahsin and Bona, Jonathan and Smith, Kirk and Kathiravelu, Pradeeban and Bremer, Erich and Saltz, Joel H. and Prior, Fred}, title = {PRISM: A Platform for Imaging in Precision Medicine}, - doi = {10.1200/cci.20.00001}, journal = {JCO Clinical Cancer Informatics}, year = {2020}, - volume = {4} + volume = {4}, + doi = {10.1200/cci.20.00001} +} + +@article{Yuan2019, + author = {Yuan, Chi and Ryan, Patrick B and Ta, Casey and Guo, Yixuan and Li, Ziran and Hardin, Jill and Makadia, Rupa and Jin, Peng and Shang, Ning and Kang, Tian and Weng, Chunhua}, + title = {Criteria2Query: A Natural Language Interface to Clinical Databases for Cohort Definition}, + journal = {Journal of the American Medical Informatics Association}, + year = {2019}, + volume = {26}, + number = {4}, + pages = {294--305}, + month = feb, + doi = {10.1093/jamia/ocy178}, + url = {http://dx.doi.org/10.1093/jamia/ocy178}, + ISSN = {1527-974X}, + publisher = {Oxford University Press (OUP)} +} + +@article{Nohr2018-in, + author = {Nohr, Ellen A and Liew, Zeyan}, + title = {How to Investigate and Adjust for Selection Bias in Cohort Studies}, + journal = {Acta Obstetricia et Gynecologica Scandinavica}, + year = {2018}, + volume = {97}, + number = {4}, + pages = {407--416}, + month = apr, + doi = {10.1111/aogs.13319}, + publisher = {Wiley}, + language = {en}, + copyright = {http://onlinelibrary.wiley.com/termsAndConditions\#vor} +} + +@article{Rogers2019-ya, + author = {Rogers, Jen and Spina, Nicholas and Neese, Ashley and Hess, Rachel and Brodke, Darrel and Lex, Alexander}, + title = {Composer: Visual Cohort Analysis of Patient Outcomes}, + journal = {Applied Clinical Informatics}, + year = {2019}, + volume = {10}, + number = {02}, + pages = {278--285}, + month = mar, + doi = {10.1055/s-0039-1687862}, + publisher = {Georg Thieme Verlag KG}, + language = {en} +} + +@article{Zhang2015-kd, + author = {Zhang, Zhiyuan and Gotz, David and Perer, Adam}, + title = {Iterative Cohort Analysis and Exploration}, + journal = {Information Visualization}, + year = {2015}, + volume = {14}, + number = {4}, + pages = {289--307}, + month = oct, + doi = {10.1177/1473871614526077}, + publisher = {SAGE Publications}, + language = {en} +} + +@inbook{Clough2016, + author = {Clough, Emily and Barrett, Tanya}, + editor = {Mathé, Ewy and Davis, Sean}, + title = {The Gene Expression Omnibus Database}, + booktitle = {Statistical Genomics: Methods and Protocols}, + year = {2016}, + publisher = {Springer New York}, + address = {New York, NY}, + pages = {93--110}, + isbn = {978-1-4939-3578-9}, + doi = {10.1007/978-1-4939-3578-9_5}, + url = {https://doi.org/10.1007/978-1-4939-3578-9_5} } diff --git a/paper.md b/paper.md index 849ca53..2c7d31b 100644 --- a/paper.md +++ b/paper.md @@ -7,14 +7,14 @@ tags: - biomedical research - data analysis authors: - - name: Nan Li - equal-contrib: true - affiliation: 1 - orcid: 0000-0002-3975-4809 - name: Ryan Birmingham orcid: 0000-0002-7943-6346 equal-contrib: true affiliation: 1 + - name: Nan Li + equal-contrib: true + affiliation: 1 + orcid: 0000-0002-3975-4809 - name: Tony Pan affiliation: 1 - name: Yahia Zakaria @@ -33,20 +33,33 @@ bibliography: paper.bib # Summary -Eaglescope is a configurable code-free interactive visualization and cohort selection tool designed for biomedical data exploration. It is designed to be hosted flexibly without the need for a dedicated server, and creates an interactive dashboard based upon a configuration file and either an API or data file. It uses visualizations of sets of features to describe and enable contextual filtering of the data. This allows for users to understand deeper patterns or anomalies within the data, and to create datasets specifically tuned to their requirements effortlessly. +Eaglescope is a configurable code-free interactive visualization and cohort definition/selection tool designed for biomedical data exploration. It is designed to be hosted flexibly without the need for a dedicated server, and creates an interactive dashboard based upon a configuration file and either an API or data file. It uses visualizations of sets of features to describe and enable contextual filtering of the data. This allows for users to understand deeper patterns or anomalies within the data, and to create datasets specifically tuned to their requirements effortlessly. + Eaglescope is typically utilized either as a tool to create refined datasets tailored for training and validating machine learning AI models, or as a central hub for further exploration, allowing users to seamlessly navigate to biomedical viewers such as DICOM or whole slide imaging (WSI) platforms. + ![Interactive Contextual Visualizations](./ContextualVis.png) + To create a dashboard, users simply need to create a file specifying the data source, configurations for each visualization, and any further desired customizations to the platform. Hosting is as straightforward as copying the static files, along with the configuration and data files if applicable, to any location capable of hosting static files. This streamlined process was intentionally designed to support the visualization of multiple datasets without added complexity or specialized requirements. Additionally, the flexibility of hosting allows for seamless scalability with demand, eliminating the need for modifications to Eaglescope itself. +# State of the Field + +Cohort definition is an essential aspect of both retrospective and prospective studies. Different workflows are used to define cohorts depending on the nature and needs of a study. For example, in cases where the criteria is known, retrospective data for the criteria can be downloaded using user-focused natural language tools such as Criteria2Query [@Yuan2019]. + +In addition to statistical and code methods, visual tools can be and are used in cohort studies. A tool called Composer [@Rogers2019-ya] allows for surgeons and patients to visually interpret results of cohort studies. Some tools, such as CAVA (Cohort Analysis via Visual Analytics) [@Zhang2015-kd] can be used for both batch analytics and interactive analytics for exploratory cohort analysis for data stored in its own relational database. + +Cohort definition or dataset selection can be done at the dataset level. For an example, the Gene Expression Omnibus Database [@Clough2016] enables interactive exploratory analysis on multiple of its component datasets. Many other dataset providers such as the Cancer Imaging Archive (TCIA) [@tica2013], cBioPortal [@cbioportal2013], and NBIA [@nbia2020] host similar kinds of filtering and exploratory analysis. Ultimately, users may also download data and use tools such as Bokeh [@bokeh] to perform analytics by creating and defining their own interactive visualizations. + # Statement of Need -Eaglescope was initially developed as a successor to abother tool [@datascope2017] to enhance the usability of interactively exploring tabular biomedical datasets with a focus on cohort analysis. To achieve this, we created a versatile tool capable of supporting multiple datasets, easily reconfigurable without coding, and deployable in a serverless manner. Moreover, Eaglescope facilitates hierarchical usage, allowing dashboards to represent and link to other dashboards. Recognizing the value of visually contextualized filtering operations, we introduced a set of visualizations that display filtered data within its broader context. This approach enables users to uncover patterns in the data that might otherwise go unnoticed, fostering deeper insights and more informed decision making in biomedical research. -Eaglescope takes inspiration from Bokeh [@bokeh], cBioPortal [@cbioportal2013], and NBIA [@nbia2020] for features and user experience. -The Cancer Imaging Archive (TCIA) [@tica2013] and the National Cancer Institute use Eaglescope to enable exploration and export of the large amount of data across collections and modalities and the PRISM [@prism2020] project includes Eaglescope to facilitate dataset creation and visualization. +Eaglescope was developed as a visual human-centered cohort definition and analysis tool. For cohort studies, this fits in a workflow niche for initial patient/record and feature selection. To support this dynamically and with minimal computational requirements, Eaglescope supports multiple datasets, creates dashboards which are reconfigurable without coding, and can be deployed in a serverless environment. It offers hierarchical functionality, allowing dashboards to represent and interlink with other dashboards. + +In many datasets, filtering on a variable can significantly alter other properties of the data. To address this, Eaglescope employs visually contextualized filtering, which displays filtered data within its broader context. This approach helps users identify patterns and insights that might otherwise be overlooked, thereby enhancing decision-making in biomedical research. By incorporating this feature, Eaglescope supports a broader effort to mitigate systematic bias in cohort definition [@Nohr2018-in]. Additionally, Eaglescope can serve as a de facto home page for datasets, clarifying its features and limitations through its dashboards. + +Eaglescope is a direct successor to the Datascope project [@datascope2017]. It is used by the Cancer Imaging Archive (TCIA) [@tica2013] and the National Cancer Institute for exploring and exporting extensive data across collections and modalities. Additionally, the PRISM [@prism2020] project incorporates Eaglescope for dataset creation and visualization. # Acknowledgements -We acknowledge all contibutors to the Eaglescope project, as well as grant support subawarded by the University of Arkansas Medical School and both financial and logistical support from the Emory Univeristy Department of Biomedical Informatics. +We acknowledge all contributors to the Eaglescope project, as well as grant support sub-awarded by the University of Arkansas Medical School and both financial and logistical support from the Emory University Department of Biomedical Informatics. # References