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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 |
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Author | Andrea Rau [cre, aut] (<https://orcid.org/0000-0001-6469-488X>), Regina Manansala [aut], Florence Jaffrézic [ctb], Denis Laloë [aut], Paul Auer [aut] |
Bioconductor views | BioCarta GeneExpression MethylSeq Pathways PrincipalComponent RNASeq Software StatisticalMethod |
Maintainer | Andrea Rau <andrea.rau@inrae.fr> |
License | GPL (>=3) |
Version | 1.0.0 |
URL | https://github.com/andreamrau/padma |
Package repository | View on Bioconductor |
Installation |
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