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...

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Dades bibliogràfiques
Publicat a:Mol Syst Biol
Autors principals: Argelaguet, Ricard, Velten, Britta, Arnol, Damien, Dietrich, Sascha, Zenz, Thorsten, Marioni, John C, Buettner, Florian, Huber, Wolfgang, Stegle, Oliver
Format: Artigo
Idioma:Inglês
Publicat: John Wiley and Sons Inc. 2018
Matèries:
Methods
Accés en línia: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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