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SurvMarker: An R Package for Identifying Survival-Associated Molecular Features Using PCA-Based Weighted Scores

Gu, T.; Gammune, D. H. V.

2025-12-31 bioinformatics
10.64898/2025.12.31.697184 bioRxiv
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SummarySurvMarker is an R package for identifying survival-associated features in high-dimensional molecular data using PCA-based weighted scoring. The method aggregates feature loadings across survival-associated principal components (PCs) and evaluates feature significance against a feature-specific empirical null distribution, enabling stable, parsimonious, and statistically calibrated prognostic feature selection. Availability and ImplementationSurvMarker is implemented in R and distributed under the MIT License (MIT). The package includes comprehensive documentation, a reference manual, and a reproducible workflow example, and is provided as Supplementary Material. Source code and documentation are openly available at the GitHub repository https://github.com/tjgu/SurvMarker.

Published in BMC Bioinformatics (predicted rank #2) · training set

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