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By k-dense-ai

pydeseq2

k-dense-ai1.7k installs

Turn RNA-seq counts into tested gene comparisons.

What it does

Analyze bulk RNA-seq counts to produce differential-expression tables, coefficient-matched effect estimates, and visualizations.

When to use it

Use for bulk RNA-seq analyses with biological replicates, covariates, and explicit comparisons, not single-cell per-cell testing.

How to use it

Give it count and sample-metadata files, an experimental design, and a comparison; it saves differential-expression results and fitted-model metadata.

What you provide

  • the experimental design
  • the comparison to test
  • Your files

Uses

Good to know

  • advertises something the task does not need

Latest review

What you need · 6

Requires Python >=3.11; the documented tested stack uses Python 3.13, and its AnnData 0.13.4 requires Python >=3.12.

Requires PyDESeq2 0.5.4; the quick-start installation pins that version.


Access · 3

This skill

https://arxiv.org/abs/2609.00065

Read

Checks the current citation record

pydeseq2

Execute

Installs PyDESeq2 in an isolated environment