Package: LPS 1.0.17

LPS: Linear Predictor Score, for Binary Inference from Multiple Continuous Variables

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.

Authors:Sylvain Mareschal

LPS_1.0.17.tar.gz
LPS_1.0.17.zip(r-4.5)LPS_1.0.17.zip(r-4.4)LPS_1.0.17.zip(r-4.3)
LPS_1.0.17.tgz(r-4.5-any)LPS_1.0.17.tgz(r-4.4-any)LPS_1.0.17.tgz(r-4.3-any)
LPS_1.0.17.tar.gz(r-4.5-noble)LPS_1.0.17.tar.gz(r-4.4-noble)
LPS_1.0.17.tgz(r-4.4-emscripten)LPS_1.0.17.tgz(r-4.3-emscripten)
LPS.pdf |LPS.html
LPS/json (API)
NEWS

# Install 'LPS' in R:
install.packages('LPS', repos = c('https://maressyl.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/maressyl/r.lps/issues

Datasets:

On CRAN:

Conda:

3.74 score 1 stars 11 scripts 197 downloads 48 mentions 13 exports 0 dependencies

Last updated 4 years agofrom:8be4099d8e. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-winNOTEMar 01 2025
R-4.5-macNOTEMar 01 2025
R-4.5-linuxNOTEMar 01 2025
R-4.4-winOKMar 01 2025
R-4.4-macOKMar 01 2025
R-4.3-winOKMar 01 2025
R-4.3-macOKMar 01 2025

Exports:clusterizedist.CORhclust.wardheatheat.expheat.linheat.mapheat.scaleLPSLPS.coeffOVLsurv.colorssurv.scale

Dependencies: