GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis
نویسندگان
چکیده
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.
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عنوان ژورنال:
- Journal of Machine Learning Research
دوره 18 شماره
صفحات -
تاریخ انتشار 2017