Hi, I notice that the current pre-processing step for creating the dataset assumes input data are formed as sparse data (adata.X is sparse matrix), so if the input data form as dense matrix, there will be an error:
Therefore, I modify the current codes which will be suitable for either sparse matrix or dense matrix as inputs.
Moreover, I also notice that gears will compute DEGs for the further work related to metrics, but if there is only one cell under such perturbation, an error will be thrown:
Therefore, I also recommend modifying the tutorial to warn such condition. Thanks.
Hi, I notice that the current pre-processing step for creating the dataset assumes input data are formed as sparse data (adata.X is sparse matrix), so if the input data form as dense matrix, there will be an error:
Therefore, I modify the current codes which will be suitable for either sparse matrix or dense matrix as inputs.
Moreover, I also notice that gears will compute DEGs for the further work related to metrics, but if there is only one cell under such perturbation, an error will be thrown:
Therefore, I also recommend modifying the tutorial to warn such condition. Thanks.