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Author:
None
License:
Apache-2.0
Summary:
No-filtering, attribute-back analysis of high-dimensional omics: keep every feature, read it with a configurable backbone over multiple arrangements, and attribute the result to named features ('gene chords').
Latest version:
1.0.2
Required dependencies:
captum
|
numpy
|
pandas
|
scikit-learn
|
torch
Optional dependencies:
anndata
|
biopython
|
hypothesis
|
mkdocs-material
|
mkdocstrings
|
pandas
|
pytest
|
scanpy
|
timm
|
torchvision
|
vit-pytorch
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