LPS: Linear Predictor Score, for Binary Inference from Multiple Continuous Variables (original) (raw)
An implementation of the Linear Predictor Score approach, as initiated by Radmacher et al. (J Comput Biol 2001) and enhanced by Wright et al. (PNAS 2003) for gene expression signatures. Several tools for unsupervised clustering of gene expression data are also provided.
Version: | 1.0.16 |
---|---|
Depends: | graphics, grDevices, R (≥ 2.10) |
Imports: | stats, utils, methods |
Suggests: | limma |
Published: | 2021-05-29 |
DOI: | 10.32614/CRAN.package.LPS |
Author: | Sylvain Mareschal |
Maintainer: | Sylvain Mareschal |
BugReports: | https://github.com/maressyl/R.LPS/issues |
License: | GPL (≥ 3) |
URL: | https://bioinformatics.ovsa.fr/LPS |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Omics |
CRAN checks: | LPS results |
Documentation:
Reference manual: | LPS.pdf |
---|
Downloads:
Package source: | LPS_1.0.16.tar.gz |
---|---|
Windows binaries: | r-devel: LPS_1.0.16.zip, r-release: LPS_1.0.16.zip, r-oldrel: LPS_1.0.16.zip |
macOS binaries: | r-release (arm64): LPS_1.0.16.tgz, r-oldrel (arm64): LPS_1.0.16.tgz, r-release (x86_64): LPS_1.0.16.tgz, r-oldrel (x86_64): LPS_1.0.16.tgz |
Old sources: | LPS archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=LPSto link to this page.