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:
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-4.4-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
- rosenwald.cli - Rosenwald et al. Lymphochip data
- rosenwald.expr - Rosenwald et al. Lymphochip data
Last updated 3 years agofrom:8be4099d8e. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | NOTE | Nov 01 2024 |
| R-4.5-linux | NOTE | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:clusterizedist.CORhclust.wardheatheat.expheat.linheat.mapheat.scaleLPSLPS.coeffOVLsurv.colorssurv.scale
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Hierarchical clustering heat maps | clusterize dist.COR hclust.ward |
| Heatmap palette generation | heat heat.exp heat.lin |
| Enhanced heat map ploting | heat.map |
| Plots a heat map color scale, for legend | heat.scale |
| Linear Predictor Score fitting | LPS LPS-class |
| Linear Predictor Score coefficient computation | LPS.coeff |
| Overlap quantification for LPS object | OVL |
| Plot method for LPS objects | plot.LPS |
| Predict method for LPS objects | predict.LPS |
| Rosenwald et al. Lymphochip data | rosenwald rosenwald.cli rosenwald.expr |
| Produces visual representation of survival data | surv.colors |
| Plots a survival color scale, for legend | surv.scale |
