Package: ProteinPCA
Type: Package
Title: Principal Component Analysis (PCA) Tool on Protein Expression
        Data
Version: 0.1.0
Author: Paul Angelo C. Manlapaz [aut, cre]
        (<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
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: 2026-10-05 09:06:53 UTC; root
Repository: https://piey27.r-universe.dev
Date/Publication: 2025-04-12 08:30:05 UTC
RemoteUrl: https://github.com/piey27/proteinpca
RemoteRef: HEAD
RemoteSha: 3ecd7337a7b56d134d8ddd8146f00287929209dd