BootMRMR
Bootstrap-MRMR Technique for Informative Gene Selection
Selection of informative features like genes, transcripts, RNA seq, etc. using Bootstrap Maximum Relevance and Minimum Redundancy technique from a given high dimensional genomic dataset. Informative gene selection involves identification of relevant genes and removal of redundant genes as much as possible from a large gene space. Main applications in high-dimensional expression data analysis (e.g. microarray data, NGS expression data and other genomics and proteomics applications).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1 |
rolling linux/jammy R-4.5 | BootMRMR_0.1.tar.gz |
127.1 KiB |
0.1 |
rolling linux/noble R-4.5 | BootMRMR_0.1.tar.gz |
127.1 KiB |
0.1 |
rolling source/ R- | BootMRMR_0.1.tar.gz |
65.3 KiB |
0.1 |
latest linux/jammy R-4.5 | BootMRMR_0.1.tar.gz |
127.1 KiB |
0.1 |
latest linux/noble R-4.5 | BootMRMR_0.1.tar.gz |
127.1 KiB |
0.1 |
latest source/ R- | BootMRMR_0.1.tar.gz |
65.3 KiB |
0.1 |
2026-04-26 source/ R- | BootMRMR_0.1.tar.gz |
65.3 KiB |
0.1 |
2026-04-23 source/ R- | BootMRMR_0.1.tar.gz |
65.3 KiB |
0.1 |
2026-04-09 windows/windows R-4.5 | BootMRMR_0.1.zip |
129.8 KiB |
0.1 |
2025-04-20 source/ R- | BootMRMR_0.1.tar.gz |
65.3 KiB |