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plaid

PLAID ultrafast gene set enrichment scoring

Bioconductor version: 3.23 · Package version: 1.0.1

PLAID (Pathway Level Average Intensity Detection) is an ultra-fast method to compute single-sample enrichment scores for gene expression or proteomics data. For each sample, plaid computes the gene set score as the average intensity of the genes/proteins in the gene set. The output is a gene set score matrix suitable for further analyses.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("plaid")

Details

MaintainerAntonino Zito <antonino.zito@bigomics.ch>
AuthorIvo Kwee [aut] (ORCID: <https://orcid.org/0000-0002-2751-4218>), Antonino Zito [cre] (ORCID: <https://orcid.org/0000-0003-1931-984X>)
LicenseGPL-3
URLhttps://github.com/bigomics/plaid, https://bigomics.github.io/plaid/
Bug Reportshttps://github.com/bigomics/plaid/issues
Downloads rank190
Source branchRELEASE_3_23
biocViewsGeneExpression, GeneSetEnrichment, Proteomics, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageplaid_1.0.1.tar.gz
Windows binary (x86_64)plaid_1.0.1.zip
macOS binary (arm64)plaid_1.0.1.tgz
macOS binary (x86_64)plaid_1.0.1.tgz
Dependencies

Depends: R (>= 4.3.3)

Imports: Matrix, MatrixGenerics, matrixStats, methods, collapse, qlcMatrix, GSVA, fgsea, SummarizedExperiment, BiocSet, stats, utils

Suggests: BiocStyle, knitr, rmarkdown, sparseMatrixStats, testthat (>= 3.0.0)