# padma: Individualized multi-omic pathway deviation scores using multiple factor analysis
<img src="inst/logos/hex_padma_v2.png" align="right" width="200" />
[](https://zenodo.org/badge/latestdoi/177859198)
The *padma* package can be installed from Bioconductor (devel)
using the *BiocManager* package:
```
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("padma")
```
Note that the package can also be installed directly from GitHub:
```
library(devtools)
devtools::install_github("andreamrau/padma")
library(padma)
```
*padma* uses 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.
### Reference
Rau et al. (2020) Individualized multi-omic pathway deviation scores using multiple factor analysis. Biostatistics (accepted), doi: https://doi.org/10.1101/827022.
