ProteinPCA (version 0.1.0)
Principal Component Analysis (PCA) Tool on Protein Expression
Data
Description
Analysis of protein expression data can be done through Principal Component Analysis (PCA),
and this R package is designed to streamline the analysis. This package enables users to perform PCA
and it generates biplot and scree plot for advanced graphical visualization. Optionally, it supports
grouping/clustering visualization with PCA loadings and confidence ellipses. With this R package,
researchers can quickly explore complex protein datasets, interpret variance contributions, and visualize
sample clustering through intuitive biplots. For more details, see Jolliffe (2001) ,
Gabriel (1971) , Zhang et al. (2024) , and
Anandan et al. (2022) .