This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see padma.
Bioconductor version: 3.15
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] , 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")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("padma")
HTML | R Script | padma package:Quick-start guide |
Reference Manual | ||
Text | NEWS |
biocViews | BioCarta, GeneExpression, MethylSeq, Pathways, PrincipalComponent, RNASeq, Software, StatisticalMethod |
Version | 1.6.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (2 years) |
License | GPL (>=3) |
Depends | R (>= 4.1.0), SummarizedExperiment, S4Vectors |
Imports | FactoMineR, MultiAssayExperiment, methods, graphics, stats, utils |
LinkingTo | |
Suggests | testthat, BiocStyle, knitr, rmarkdown, KEGGREST, missMDA, ggplot2, ggrepel, car, cowplot |
SystemRequirements | |
Enhances | |
URL | https://github.com/andreamrau/padma |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | padma_1.6.0.tar.gz |
Windows Binary | padma_1.6.0.zip (64-bit only) |
macOS Binary (x86_64) | padma_1.6.0.tgz |
Source Repository | git 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/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: