Package: PCAPAM50 Type: Package Title: Enhanced 'PAM50' Subtyping of Breast Cancer Version: 1.0.4 Authors@R: c(person("Praveen-Kumar", "Raj-Kumar", role = c("aut", "cre", "cph"), email = "p.rajkumar@wriwindber.org"), person("Boyi", "Chen", role = "aut"), person("Ming-Wen", "Hu", role = "aut"), person("Tyler", "Hohenstein", role = "aut"), person("Jianfang", "Liu", role = "aut"), person("Craig D.", "Shriver", role = "aut"), person("Xiaoying", "Lin", role = c("aut", "cph")), person("Hai", "Hu", role = c("aut", "cph"))) Maintainer: Praveen-Kumar Raj-Kumar Description: Accurate classification of breast cancer tumors based on gene expression data is not a trivial task, and it lacks standard practices.The 'PAM50' classifier, which uses 50 gene centroid correlation distances to classify tumors, faces challenges with balancing estrogen receptor (ER) status and gene centering. The 'PCAPAM50' package leverages principal component analysis and iterative 'PAM50' calls to create a gene expression-based ER-balanced subset for gene centering, avoiding the use of protein expression-based ER data resulting into an enhanced Breast Cancer subtyping. The PCA-PAM50 method is described in Raj-Kumar et al. (2019) and the package implementation is described in Raj-Kumar et al. (2026) . License: GPL (>= 3) Copyright: 2024 Windber Research Institute, Windber, PA - 15963. All Rights Reserved. Encoding: UTF-8 Suggests: testthat, knitr, rmarkdown Config/testthat/edition: 3 RoxygenNote: 7.2.3 Imports: Biobase, lattice, ComplexHeatmap, impute VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-10-16 10:26:22 UTC; root Author: Praveen-Kumar Raj-Kumar [aut, cre, cph], Boyi Chen [aut], Ming-Wen Hu [aut], Tyler Hohenstein [aut], Jianfang Liu [aut], Craig D. Shriver [aut], Xiaoying Lin [aut, cph], Hai Hu [aut, cph] Config/pak/sysreqs: libpng-dev perl Repository: https://rajkumpismb.r-universe.dev Date/Publication: 2026-07-30 17:00:12 UTC RemoteUrl: https://github.com/cran/PCAPAM50 RemoteRef: HEAD RemoteSha: 8920f64bb7cc669c1cd1fe09370aaa6029877118