padma
Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor Analysis
Bioconductor version: 3.23 · Package version: 1.22.0
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
| Maintainer | Andrea Rau <andrea.rau@inrae.fr> |
| Author | Andrea Rau [cre, aut] (ORCID: <https://orcid.org/0000-0001-6469-488X>), Regina Manansala [aut], Florence Jaffrézic [ctb], Denis Laloë [aut], Paul Auer [aut] |
| License | GPL (>=3) |
| URL | https://github.com/andreamrau/padma |
| Downloads rank | 271 |
| Source branch | RELEASE_3_23 |
| biocViews | BioCarta, GeneExpression, MethylSeq, Pathways, PrincipalComponent, RNASeq, Software, StatisticalMethod |
Documentation
Download
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