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DOne i: 6
DOne i: 7
DOne i: 8
DOne i: 9
Traceback (most recent call last):
File "/mnt/data3/gianmarco/condaforge/envs/explorer/bin/scHicCorrectMatrices", line 7, in <module>
main()
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/schicexplorer/scHicCorrectMatrices.py", line 169, in main
matrixFileHandler.save(args.outFileName, pSymmetric=True, pApplyCorrection=False)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/hicmatrix/lib/matrixFileHandler.py", line 57, in save
self.matrixFile.save(pName, pSymmetric, pApplyCorrection)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/hicmatrix/lib/scool.py", line 46, in save
bins_dict[coolObject.matrixFile.matrixFileName] = bins_data_frame
TypeError: unhashable type: 'csr_matrix'
So far, the previous commands in the tutorial have run to completion with no apparent errors.
Other downstream tasks applied to the normalized matrix (skipping this step) also fail. I don't know if this is due to the missing correction or if those are separate errors.
For example:
hicPlotMatrix -m ./tmp/merge/ramani_normalized.scool --log1p -o ./tmp/merge/ramani_bulk.png --dpi 300 --fontsize 5 --rotationX 45
INFO:hicexplorer.hicPlotMatrix:Cooler or no cooler: False
Traceback (most recent call last):
File "/mnt/data3/gianmarco/condaforge/envs/explorer/bin/hicPlotMatrix", line 7, in <module>
main()
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/hicexplorer/hicPlotMatrix.py", line 700, in main
ma = HiCMatrix.hiCMatrix(args.matrix)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/hicmatrix/HiCMatrix.py", line 56, in __init__
matrixFileHandler_load = self.matrixFileHandler.load()
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/hicmatrix/lib/matrixFileHandler.py", line 51, in load
return self.matrixFile.load()
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/hicmatrix/lib/cool.py", line 72, in load
count_dtype = matrixDataFrame[0]['count'].dtype
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/cooler/core/_selectors.py", line 145, in __getitem__
return self._slice(self.field, i0, i1, j0, j1)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/cooler/api.py", line 384, in _slice
self._is_symm_upper,
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/cooler/api.py", line 713, in matrix
reader = CSRReader(h5['pixels'], h5['indexes/bin1_offset'][:])
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/h5py/_hl/group.py", line 288, in __getitem__
oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py/h5o.pyx", line 190, in h5py.h5o.open
KeyError: "Unable to open object (object 'pixels' doesn't exist)"
And
scHicCluster -m ./tmp/merge/ramani_normalized.scool --numberOfClusters 7 --clusterMethod kmeans -o ./tmp/merge/clusters_raw_kmeans.txt --threads 20
Traceback (most recent call last):
File "/mnt/data3/gianmarco/condaforge/envs/explorer/bin/scHicCluster", line 7, in <module>
main()
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/schicexplorer/scHicCluster.py", line 200, in main
labels_clustering = kmeans_object.fit_predict(neighborhood_matrix)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/sklearn/cluster/_kmeans.py", line 1077, in fit_predict
return self.fit(X, sample_weight=sample_weight).labels_
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/sklearn/cluster/_kmeans.py", line 982, in fit
accept_large_sparse=False)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/sklearn/base.py", line 421, in _validate_data
X = check_array(X, **check_params)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/sklearn/utils/validation.py", line 63, in inner_f
return f(*args, **kwargs)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/sklearn/utils/validation.py", line 653, in check_array
accept_large_sparse=accept_large_sparse)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/sklearn/utils/validation.py", line 414, in _ensure_sparse_format
_check_large_sparse(spmatrix, accept_large_sparse)
File "/mnt/data3/gianmarco/condaforge/envs/explorer/lib/python3.6/site-packages/sklearn/utils/validation.py", line 761, in _check_large_sparse
% indices_datatype)
ValueError: Only sparse matrices with 32-bit integer indices are accepted. Got int64 indices.
Could you please advise? I can provide the scool file or any additional information.
The text was updated successfully, but these errors were encountered:
I encounter the following error when running the correct matrices command.
So far, the previous commands in the tutorial have run to completion with no apparent errors.
Other downstream tasks applied to the normalized matrix (skipping this step) also fail. I don't know if this is due to the missing correction or if those are separate errors.
For example:
And
Could you please advise? I can provide the scool file or any additional information.
The text was updated successfully, but these errors were encountered: