GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis
Mathematical Software
2016-11-08 v1
Abstract
The R package GFA provides a full pipeline for factor analysis of multiple data sources that are represented as matrices with co-occurring samples. It allows learning dependencies between subsets of the data sources, decomposed into latent factors. The package also implements sparse priors for the factorization, providing interpretable biclusters of the multi-source data
Cite
@article{arxiv.1611.01534,
title = {GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis},
author = {Eemeli Leppäaho and Muhammad Ammad-ud-din and Samuel Kaski},
journal= {arXiv preprint arXiv:1611.01534},
year = {2016}
}