Bioc2026 Registration Open!

plaid

PLAID ultrafast gene set enrichment scoring

Bioconductor version: 3.23 · Package version: 1.0.0

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 rank68
Source branchRELEASE_3_23
biocViewsGeneExpression, GeneSetEnrichment, Proteomics, Software

Documentation

Download

Dependencies

Depends: R (>= 4.3.3)

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

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