padma: Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor Analysis

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.

Package details

AuthorAndrea Rau [cre, aut] (<https://orcid.org/0000-0001-6469-488X>), Regina Manansala [aut], Florence Jaffrézic [ctb], Denis Laloë [aut], Paul Auer [aut]
Bioconductor views BioCarta GeneExpression MethylSeq Pathways PrincipalComponent RNASeq Software StatisticalMethod
MaintainerAndrea Rau <andrea.rau@inrae.fr>
LicenseGPL (>=3)
Version1.0.0
URL https://github.com/andreamrau/padma
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("padma")

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padma documentation built on Nov. 8, 2020, 4:56 p.m.