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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Detalles Bibliográficos
Autores principales: Argelaguet, Ricard, Velten, Britta, Arnol, Damien, Dietrich, Sascha, Zenz, Thorsten, Marioni, John C, Buettner, Florian, Huber, Wolfgang, Stegle, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010767/
https://www.ncbi.nlm.nih.gov/pubmed/29925568
http://dx.doi.org/10.15252/msb.20178124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010767/
https://www.ncbi.nlm.nih.gov/pubmed/29925568
http://dx.doi.org/10.15252/msb.20178124

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