padma
This is the development version of padma; for the stable release version, see padma.
Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor Analysis
Bioconductor version: Development (3.21)
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:
Maintainer: Andrea Rau <andrea.rau at inrae.fr>
citation("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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("padma")
padma package:Quick-start guide | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | BioCarta, GeneExpression, MethylSeq, Pathways, PrincipalComponent, RNASeq, Software, StatisticalMethod |
Version | 1.17.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (4 years) |
License | GPL (>=3) |
Depends | R (>= 4.1.0), SummarizedExperiment, S4Vectors |
Imports | FactoMineR, MultiAssayExperiment, methods, graphics, stats, utils |
System Requirements | |
URL | https://github.com/andreamrau/padma |
See More
Suggests | testthat, BiocStyle, knitr, rmarkdown, KEGGREST, missMDA, ggplot2, ggrepel, car, cowplot, reshape2 |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | padma_1.17.0.tar.gz |
Windows Binary (x86_64) | padma_1.17.0.zip (64-bit only) |
macOS Binary (x86_64) | padma_1.17.0.tgz |
macOS Binary (arm64) | padma_1.17.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/padma |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/padma |
Bioc Package Browser | https://code.bioconductor.org/browse/padma/ |
Package Short Url | https://bioconductor.org/packages/padma/ |
Package Downloads Report | Download Stats |