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padma

Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor Analysis

Bioconductor version: 3.24 · Package version: 1.23.0

Use multiple factor analysis to calculate individualized pathway-centric scores of deviation with respect to the sampled population based on multi-omic assays (e.g., RNA-seq, copy number alterations, methylation, etc). Graphical and numerical outputs are provided to identify highly aberrant individuals for a particular pathway of interest, as well as the gene and omics drivers of aberrant multi-omic profiles.

Installation

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

BiocManager::install("padma")

Details

MaintainerAndrea Rau <andrea.rau@inrae.fr>
AuthorAndrea Rau [cre, aut] (ORCID: <https://orcid.org/0000-0001-6469-488X>), Regina Manansala [aut], Florence Jaffrézic [ctb], Denis Laloë [aut], Paul Auer [aut]
LicenseGPL (>=3)
URLhttps://github.com/andreamrau/padma
Downloads rank432
Source branchdevel
biocViewsBioCarta, GeneExpression, MethylSeq, Pathways, PrincipalComponent, RNASeq, Software, StatisticalMethod

Documentation

Download

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

Source packagepadma_1.23.0.tar.gz
Windows binary (x86_64)padma_1.23.0.zip
macOS binary (arm64)padma_1.23.0.tgz
macOS binary (x86_64)padma_1.23.0.tgz
Dependencies

Depends: R (>= 4.1.0), SummarizedExperiment, S4Vectors

Imports: FactoMineR, MultiAssayExperiment, methods, graphics, stats, utils

Suggests: testthat, BiocStyle, knitr, rmarkdown, KEGGREST, missMDA, ggplot2, ggrepel, car, cowplot, reshape2