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
| Maintainer | Antonino Zito <antonino.zito@bigomics.ch> |
| Author | Ivo Kwee [aut] (ORCID: <https://orcid.org/0000-0002-2751-4218>), Antonino Zito [cre] (ORCID: <https://orcid.org/0000-0003-1931-984X>) |
| License | GPL-3 |
| URL | https://github.com/bigomics/plaid, https://bigomics.github.io/plaid/ |
| Bug Reports | https://github.com/bigomics/plaid/issues |
| Downloads rank | 68 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, GeneSetEnrichment, Proteomics, Software |
Documentation
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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)