Comments (1)
Thank you for your interest in TOSICA.
Mask is a binary matrix with columns corresponding to gene sets (GO term or KEGG) and rows corresponding to genes, with M(i,j) = 1 if the gene i belongs to the gene set j, otherwise Mi,j = 0.
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Related Issues (19)
- Share test data file in the tutorial HOT 1
- Sharing code to reproduce manuscript figures HOT 1
- Quick question about prediction result HOT 3
- What will happen if the number or order of var_names is different? HOT 3
- [bug] There is a bug when I install the software HOT 2
- could you share what's hardware(GPU) used to train this model? HOT 2
- Questions about reading certain datasets HOT 1
- could you share the other 5 datasets detailed preprocessing codes HOT 1
- model depth=2, cause more 8 times GPU usage than depth=1 in hPancreas dataset train HOT 3
- TOSICA install problem HOT 1
- use TOSICA for cell classification HOT 4
- Problem with TOSICA metrics comparing HOT 1
- Cannot import TOSICA due to issue with np.long HOT 3
- Memory leakage HOT 3
- Data preprocessing HOT 1
- TOSICA pre function gives very different accuracy than evaluate in train function HOT 2
- The test data runs differently than the example HOT 8
- Mask matrix issues HOT 1
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