Package: PCAPAM50 1.0.1

PCAPAM50: Enhanced 'PAM50' Subtyping of Breast Cancer

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.

Authors: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]

PCAPAM50_1.0.1.tar.gz
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PCAPAM50.pdf |PCAPAM50.html
PCAPAM50/json (API)

# Install 'PCAPAM50' in R:
install.packages('PCAPAM50', repos = c('https://rajkumpismb.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 157 downloads 4 exports 24 dependencies

Last updated 4 months agofrom:490aaaeb66. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-winOKOct 08 2024
R-4.5-linuxOKOct 08 2024
R-4.4-winOKOct 08 2024
R-4.4-macOKOct 08 2024
R-4.3-winOKOct 08 2024
R-4.3-macOKOct 08 2024

Exports:makeCalls.ihcmakeCalls.PC1ihcmakeCalls.v1PAMmy.plotPCA

Dependencies:BiobaseBiocGenericscirclizeclueclustercodetoolscolorspaceComplexHeatmapcrayondigestdoParallelforeachGetoptLongGlobalOptionsimputeIRangesiteratorslatticematrixStatspngRColorBrewerrjsonS4Vectorsshape

PCAPAM50: An R Package for Principal Component Analysis-Based Iterative PAM50 Subtyping

Rendered fromPCAPAM50_vignette.Rmdusingknitr::rmarkdownon Oct 08 2024.

Last update: 2024-07-09
Started: 2024-07-09