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padma

This is the released version of padma; for the devel version, see padma.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12

Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor Analysis


Bioconductor version: Release (3.23)

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.

Author: Andrea Rau [cre, aut] ORCID iD ORCID: 0000-0001-6469-488X , Regina Manansala [aut], Florence Jaffrézic [ctb], Denis Laloë [aut], Paul Auer [aut]

Maintainer: Andrea Rau <andrea.rau at inrae.fr>

Citation (from within R, enter citation("padma")):

Andrea Rau, Regina Manansala, Denis Laloë, Paul Auer. padma: Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor Analysis. doi:10.18129/B9.bioc.padma, R package version 1.22.0, https://bioconductor.org/packages/padma.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("padma")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("padma")
padma package:Quick-start guide HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews BioCarta, GeneExpression, MethylSeq, Pathways, PrincipalComponent, RNASeq, Software, StatisticalMethod
Version1.22.0
In Bioconductor sinceBioC 3.12 (R-4.0) (6 years)
License GPL (>=3)
Depends R (>= 4.1.0), SummarizedExperiment, S4Vectors
Imports FactoMineR, MultiAssayExperiment, methods, graphics, stats, utils
System Requirements
URLhttps://github.com/andreamrau/padma
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Suggests testthat, BiocStyle, knitr, rmarkdown, KEGGREST, missMDA, ggplot2, ggrepel, car, cowplot, reshape2
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package padma_1.22.0.tar.gz
Windows Binary (x86_64) padma_1.22.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) padma_1.22.0.tgz
macOS Binary (sonoma-arm64) padma_1.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/padma
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/padma
Package Short Url https://bioconductor.org/packages/padma/
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