Package: ProteinPCA
Type: Package
Title: Principal Component Analysis (PCA) Tool on Protein Expression
        Data
Version: 0.1.1
Author: Paul Angelo C. Manlapaz [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-1203-2064>)
Maintainer: Paul Angelo C. Manlapaz <pacmanlapaz@gmail.com>
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) <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>.
License: GPL-3
Encoding: UTF-8
Imports: stats, ggplot2, gridExtra
Suggests: testthat, MASS
Config/testthat/edition: 3
RoxygenNote: 7.3.2
Authors@R: c(
  person(given = "Paul Angelo C.", family = "Manlapaz", role = c("aut", "cre"), 
         email = "pacmanlapaz@gmail.com", comment = c(ORCID = "0000-0002-1203-2064")))
NeedsCompilation: no
Packaged: 2025-08-22 17:19:23 UTC; PTRI
Repository: CRAN
Date/Publication: 2025-08-22 18:00:16 UTC
Built: R 4.6.0; ; 2026-04-28 08:54:44 UTC; unix
