HTT: R data package

Data, scripts, and functions of the High-Throughput Truthing project (HTT project). The "inst" directory will be used to archive scripts that reproduce the analyses done for different presentations and publications.

Project hub space: https://ncihub.org/groups/eedapstudies

To install this package from the R command line: install_github('DIDSR/HTT')

Data and Code Repository

• https://github.com/DIDSR/HTT

Manual documenting the data and functions in the R package:

• https://github.com/DIDSR/HTT/tree/main/inst/manual

Webinar tour of the data: Link to video

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Manuscript describing the project:

• Dudgeon et al. (2020), "A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study," Journal of Pathology Informatics, 12, p. 45. https://www.doi.org/10.4103/jpi.jpi_83_20

Manuscript describing expert panel:

• Garcia et al. (2022 - Submitted). "Development of Training Materials for Pathologists to Provide Machine Learning Validation Data of Tumor-Infiltrating Lymphocytes in Breast Cancer," Cancers.

Pathology Informatics Presentation:

• B. D. Gallas and et al., “High Throughput Truthing (HTT): pathologist agreement from a pilot study,” presented at the Pathology Informatics Summit, 2021. https://ncihub.org/groups/eedapstudies/wiki/Presentation2021:PathologyInformaticsSummitHTTproject
• R markdown to create the figures from this presentation can be found in this folder: inst/extra/20210505-PathologyInformatics