cyberneticlibrary

Analyze gene expression from RNA-seq

pydeseq2skillsetup L2★27,559

K-Dense-AI/scientific-agent-skills ↗

What it does

Differential gene expression analysis for bulk RNA-seq with PyDESeq2, including formulaic designs, W

Best for

RNA-seq differential expression with multi-factor designs

Inputs

· RNA-seq count matrix
· Sample metadata table
· Gene/disease/drug identifier

Outputs

· .pptx file
· Graph relationships
· Results DataFrame
· Trained agent policy
· Visual narrative
· Trained model

Requires

· Python

Preconditions

· Python environment
· API credentials
· Configuration/setup

Trust signals

· Open-source licensed
· From established skill repo
· Includes examples
· Versioned/documented
· Includes best practices
· Practical patterns