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Computes Weighted Sum Score (WSS) module-level summaries from proteomic data. Protein-level values are sign-aligned to their association with core biomarkers and combined within 'STRING' network modules, weighted by network connectivity and association strength. Bundled reference modules and a fitted 'joinet' model also allow all module scores to be predicted from age, sex and a small panel of plasma biomarkers, without measuring the full proteomic panel. The method is described in Butler et al. (2026) <doi:10.64898/2026.08.14.26360394>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | data.table |
| Suggests: | glmnet, joinet, knitr, rmarkdown, RNOmni, testthat (≥ 3.0.0) |
| Published: | 2026-11-03 |
| DOI: | 10.32614/CRAN.package.WSSmod (may not be active yet) |
| Author: | Robert Butler |
| Maintainer: | Robert Butler <rrbutler at stanford.edu> |
| BugReports: | https://github.com/Longo-Lab/WSSmod/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Longo-Lab/WSSmod, https://Longo-Lab.github.io/WSSmod/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | WSSmod citation info |
| Materials: | README, NEWS |
| CRAN checks: | WSSmod results |
| Reference manual: | WSSmod.html , WSSmod.pdf |
| Vignettes: |
Calculating Weighted Sum Scores (source, R code) Exploring the bundled datasets (source, R code) Predicting Weighted Sum Scores from plasma biomarkers (source, R code) |
| Package source: | WSSmod_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: WSSmod_0.1.0.zip, r-oldrel: WSSmod_0.1.0.zip |
| macOS binaries: | r-release (arm64): WSSmod_0.1.0.tgz, r-oldrel (arm64): WSSmod_0.1.0.tgz, r-release (x86_64): WSSmod_0.1.0.tgz, r-oldrel (x86_64): WSSmod_0.1.0.tgz |
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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.
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