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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 <maressyl at gmail.com> |
| 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 |
| Reference manual: | LPS.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.