ProteinPCA
0.1.1Principal Component Analysis (PCA) Tool on Protein Expression Data
Overview
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) doi:10.1007/b98835, Gabriel (1971) doi:10.1093/biomet/58.3.453, Zhang et al. (2024) doi:10.1038/s41467-024-53239-9, and Anandan et al. (2022) doi:10.1038/s41598-022-07781-5.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-07-1112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
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- References docs
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest
- 0.1.02025-04-12
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-04-12
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 4.0 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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