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PCAPAM50  

Enhanced 'PAM50' Subtyping of Breast Cancer
View on CRAN: Click here


Download and install PCAPAM50 package within the R console
Install from CRAN:
install.packages("PCAPAM50")

Install from Github:
library("remotes")
install_github("cran/PCAPAM50")

Install by package version:
library("remotes")
install_version("PCAPAM50", "1.0.1")



Attach the package and use:
library("PCAPAM50")
Maintained by
Praveen-Kumar Raj-Kumar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-08
Latest Update: 2024-07-09
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.
How to cite:
Praveen-Kumar Raj-Kumar (2024). PCAPAM50: Enhanced 'PAM50' Subtyping of Breast Cancer. R package version 1.0.1, https://cran.r-project.org/web/packages/PCAPAM50. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-07-08 07:30)
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Complete documentation for PCAPAM50
Functions, R codes and Examples using the PCAPAM50 R package
Full PCAPAM50 package functions and examples
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