 
  
 
   
   This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see padma.
Bioconductor version: 3.12
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]
, 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 "4.0") and enter:
if (!requireNamespace("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 | 1.0.0 | 
| In Bioconductor since | BioC 3.12 (R-4.0) (0.5 years) | 
| License | GPL (>=3) | 
| Depends | R (>= 4.0.0), 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_1.0.0.tar.gz | 
| Windows Binary | padma_1.0.0.zip | 
| macOS 10.13 (High Sierra) | padma_1.0.0.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 | 
 
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