This is the development version of padma; for the stable release version, see padma.
Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor AnalysisBioconductor version: Development (3.22)
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: 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, entercitation("padma")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("padma")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("padma")Follow Installation instructions to use this package in your R session.
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