ProteinPCA
Principal Component Analysis (PCA) Tool on Protein Expression Data
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | ProteinPCA_0.1.1.tar.gz |
16.2 KiB |
0.1.1 |
rolling linux/noble R-4.5 | ProteinPCA_0.1.1.tar.gz |
16.1 KiB |
0.1.1 |
rolling source/ R- | ProteinPCA_0.1.1.tar.gz |
3.9 KiB |
0.1.1 |
latest linux/jammy R-4.5 | ProteinPCA_0.1.1.tar.gz |
16.2 KiB |
0.1.1 |
latest linux/noble R-4.5 | ProteinPCA_0.1.1.tar.gz |
16.1 KiB |
0.1.1 |
latest source/ R- | ProteinPCA_0.1.1.tar.gz |
3.9 KiB |
0.1.1 |
2026-04-26 source/ R- | ProteinPCA_0.1.1.tar.gz |
3.9 KiB |
0.1.1 |
2026-04-23 source/ R- | ProteinPCA_0.1.1.tar.gz |
3.9 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | ProteinPCA_0.1.1.zip |
19.0 KiB |
0.1.0 |
2025-04-20 source/ R- | ProteinPCA_0.1.0.tar.gz |
3.9 KiB |