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Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

Multi‐omics studies promise the improved characterization of biological processes across molecular layers. However, methods for the unsupervised integration of the resulting heterogeneous data sets are lacking. We present Multi‐Omics Factor Analysis (MOFA), a computational method for discovering the...

詳細記述

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書誌詳細
出版年:Mol Syst Biol
主要な著者: Argelaguet, Ricard, Velten, Britta, Arnol, Damien, Dietrich, Sascha, Zenz, Thorsten, Marioni, John C, Buettner, Florian, Huber, Wolfgang, Stegle, Oliver
フォーマット: Artigo
言語:Inglês
出版事項: John Wiley and Sons Inc. 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6010767/
https://ncbi.nlm.nih.gov/pubmed/29925568
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.15252/msb.20178124
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