ExpressionCellNet
Network-Based Analysis of Gene Expression Perturbations
Network-centric framework for integrative analysis of high-throughput gene expression data using user-supplied gene-gene interaction graphs. Constructs seed-centered multi-generation networks constrained by expression correlations and simulates expression perturbation scenarios via regression-based prediction (van Dam, 2018).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling source/ R- | ExpressionCellNet_0.1.1.tar.gz |
36.1 KiB |
0.1.1 |
latest source/ R- | ExpressionCellNet_0.1.1.tar.gz |
36.1 KiB |
0.1.1 |
2026-04-23 source/ R- | ExpressionCellNet_0.1.1.tar.gz |
36.1 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | ExpressionCellNet_0.1.1.zip |
119.1 KiB |