WSSmod: Weighted Sum Scores for Protein Network Modules

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 ORCID iD [aut, cre], WSSmod authors [cph]
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

Documentation:

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)

Downloads:

Package source: WSSmod_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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