topologyGSA
Gene Set Analysis Exploiting Pathway Topology
Using Gaussian graphical models we propose a novel approach to perform pathway analysis using gene expression. Given the structure of a graph (a pathway) we introduce two statistical tests to compare the mean and the concentration matrices between two groups. Specifically, these tests can be performed on the graph and on its connected components (cliques). The package is based on the method described in Massa M.S., Chiogna M., Romualdi C. (2010) <doi:10.1186/1752-0509-4-121>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.5.0 |
rolling linux/jammy R-4.5 | topologyGSA_1.5.0.tar.gz |
29.0 KiB |
1.5.0 |
rolling linux/noble R-4.5 | topologyGSA_1.5.0.tar.gz |
29.0 KiB |
1.5.0 |
rolling source/ R- | topologyGSA_1.5.0.tar.gz |
29.0 KiB |
1.5.0 |
latest linux/jammy R-4.5 | topologyGSA_1.5.0.tar.gz |
29.0 KiB |
1.5.0 |
latest linux/noble R-4.5 | topologyGSA_1.5.0.tar.gz |
29.0 KiB |
1.5.0 |
latest source/ R- | topologyGSA_1.5.0.tar.gz |
29.0 KiB |
1.5.0 |
2026-04-26 source/ R- | topologyGSA_1.5.0.tar.gz |
29.0 KiB |
1.5.0 |
2026-04-23 source/ R- | topologyGSA_1.5.0.tar.gz |
29.0 KiB |
1.5.0 |
2025-04-20 source/ R- | topologyGSA_1.5.0.tar.gz |
29.0 KiB |