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lingxling/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

pydeseq2

Performs bulk RNA-seq differential expression analysis with PyDESeq2, including count validation, formula designs, explicit contrasts, Wald tests, FDR correction, coefficient-matched LFC shrinkage, and result visualization. Use for PyDESeq2 or Python DESeq2 workflows with biological replicates.

Version
1.7
License
MIT license
Compatibility
Requires Python >=3.11 and PyDESeq2 0.5.4. Tested current stack uses Python 3.13 and AnnData 0.13.4 (which requires Python >=3.12). Local analyses need no credentials or network; installation and upstream example-data downloads need network access.
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Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

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