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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).
| Version: | 0.1 |
| Depends: | R (≥ 3.3.1) |
| Published: | 2016-09-12 |
| DOI: | 10.32614/CRAN.package.BootMRMR |
| Author: | Samarendra Das |
| Maintainer: | Samarendra Das <samarendra4849 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | BootMRMR results |
| Reference manual: | BootMRMR.pdf |
| Package source: | BootMRMR_0.1.tar.gz |
| Windows binaries: | r-devel: BootMRMR_0.1.zip, r-release: BootMRMR_0.1.zip, r-oldrel: BootMRMR_0.1.zip |
| macOS binaries: | r-release (arm64): BootMRMR_0.1.tgz, r-oldrel (arm64): BootMRMR_0.1.tgz, r-release (x86_64): BootMRMR_0.1.tgz, r-oldrel (x86_64): BootMRMR_0.1.tgz |
| Reverse imports: | IGST |
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