SenescenceEngine

Pure Python cellular senescence analysis pipeline.

Features

• ssGSEA-style senescence scoring (SenMayo gene set)
• Telomere length estimation (TL-score)
• SASP factor expression analysis
• Cell cycle arrest detection (p21/p16 axis)
• Senescence pseudotime trajectory
• Differential expression (BH FDR)

Usage

pip install numpy scipy matplotlib
python senescence_engine.py

Results (800 cells, 2000 genes)

• 42 DE genes (FDR<0.05, |log2FC|>1)
• Top SASP factor: CCL5 (log2FC=3.67)
• p21-arrested: 53 cells (6.6%)
• Senescence-SASP correlation: r=0.386