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] (<>), Regina Manansala [aut], Florence Jaffrézic [ctb], Denis Laloë [aut], Paul Auer [aut]
Bioconductor views BioCarta GeneExpression MethylSeq Pathways PrincipalComponent RNASeq Software StatisticalMethod
MaintainerAndrea Rau <>
LicenseGPL (>=3)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the padma package in your browser

Any scripts or data that you put into this service are public.

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