dynamo-release
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aristoteleo
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
Prevent too-small adata sets from producing errors during prepocessing. adata.var being too small may still cause Errors, though the error messages are now more informative. Temporary empty values are used...
Add new input variable for Preprocessor object to skip normalization in case data-to-be-preprocessed is already normalized.
Changes made to python-plain-run-test.yml Uses built in Codecov utility https://github.com/codecov/codecov-action for Github actions Codecov bot should become active once the app is installed
Further discussion needed especially for - [x] notfound - [x] velocyto_SVR - [x] cell_phase_genes - [ ] umap_fit - Two things are need to be considered regarding transform method in...
1. optimized the multiprocessing by switching from ThreadPool to a process pool that utilizes cores instead of threads. This change significantly improved the operating time: - Previous operating time: 5.573467457999996...
Dear all, I have a dataset and I would to split conditions (ko and WT) to analyze separately them. The problem Is that Im not sure if there Is a...
For the layers of the dynamo scNT-seq tutorial new and total, which two layers from the dynast results are more appropriate to use? I tried to use adata.X as total,...
Optimize the speed of Preprocessor when chunked preprocessing is not enabled.
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Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses