Package: cpvSNP
Type: Package
Title: Gene set analysis methods for SNP association p-values that lie
        in genes in given gene sets
Version: 1.42.0
Date: 2021-11-20
Author: Caitlin McHugh, Jessica Larson, and Jason Hackney
Maintainer: Caitlin McHugh <mchughc@uw.edu>
Imports: methods, corpcor, BiocParallel, ggplot2, plyr
Depends: R (>= 3.5.0), GenomicFeatures, GSEABase (>= 1.24.0)
Suggests: TxDb.Hsapiens.UCSC.hg19.knownGene, RUnit, BiocGenerics,
        ReportingTools, BiocStyle
Description: Gene set analysis methods exist to combine SNP-level
        association p-values into gene sets, calculating a single
        association p-value for each gene set. This package implements
        two such methods that require only the calculated SNP p-values,
        the gene set(s) of interest, and a correlation matrix (if
        desired). One method (GLOSSI) requires independent SNPs and the
        other (VEGAS) can take into account correlation (LD) among the
        SNPs. Built-in plotting functions are available to help users
        visualize results.
License: Artistic-2.0
biocViews: Genetics, StatisticalMethod, Pathways, GeneSetEnrichment,
        GenomicVariation
Config/pak/sysreqs: make libbz2-dev liblzma-dev libpng-dev libxml2-dev
        libssl-dev xz-utils zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:23:10 UTC
RemoteUrl: https://github.com/bioc/cpvSNP
RemoteRef: RELEASE_3_22
RemoteSha: 31700af5f9ea1f46b98d51aae0caf6b6f5a93831
NeedsCompilation: no
Packaged: 2026-03-08 04:27:46 UTC; root
Built: R 4.5.2; ; 2026-03-08 04:31:27 UTC; windows
