WGCNA
Weighted Correlation Network Analysis
Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.74 |
rolling linux/jammy R-4.5 | WGCNA_1.74.tar.gz |
1.1 MiB |
1.74 |
rolling linux/noble R-4.5 | WGCNA_1.74.tar.gz |
1.1 MiB |
1.74 |
rolling source/ R- | WGCNA_1.74.tar.gz |
1.1 MiB |
1.74 |
latest linux/jammy R-4.5 | WGCNA_1.74.tar.gz |
1.1 MiB |
1.74 |
latest linux/noble R-4.5 | WGCNA_1.74.tar.gz |
1.1 MiB |
1.74 |
latest source/ R- | WGCNA_1.74.tar.gz |
1.1 MiB |
1.74 |
2026-04-26 source/ R- | WGCNA_1.74.tar.gz |
1.1 MiB |
1.74 |
2026-04-23 source/ R- | WGCNA_1.74.tar.gz |
1.1 MiB |
1.73 |
2025-04-20 source/ R- | WGCNA_1.73.tar.gz |
1.1 MiB |