Package: pgca
Type: Package
Title: PGCA: An Algorithm to Link Protein Groups Created from MS/MS
        Data
Version: 1.36.0
biocViews:
        WorkflowStep,AssayDomain,Proteomics,MassSpectrometry,ImmunoOncology
Author: Gabriela Cohen-Freue <gcohen@stat.ubc.ca>
Maintainer: Gabriela Cohen-Freue <gcohen@stat.ubc.ca>
Description: Protein Group Code Algorithm (PGCA) is a computationally
        inexpensive algorithm to merge protein summaries from multiple
        experimental quantitative proteomics data. The algorithm
        connects two or more groups with overlapping accession numbers.
        In some cases, pairwise groups are mutually exclusive but they
        may still be connected by another group (or set of groups) with
        overlapping accession numbers. Thus, groups created by PGCA
        from multiple experimental runs (i.e., global groups) are
        called "connected" groups. These identified global protein
        groups enable the analysis of quantitative data available for
        protein groups instead of unique protein identifiers.
License: GPL (>= 2)
Imports: utils, stats
LazyData: TRUE
VignetteBuilder: knitr
Suggests: knitr, testthat, rmarkdown
RoxygenNote: 6.0.1
git_url: https://git.bioconductor.org/packages/pgca
git_branch: RELEASE_3_23
git_last_commit: d987388
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
NeedsCompilation: no
Packaged: 2026-04-28 23:50:40 UTC; biocbuild
Built: R 4.6.0; ; 2026-04-29 19:03:08 UTC; unix
