Multi-Omics factor analysis - a framework for unsupervised integration of multi-omic data sets

“Multi-Omics factor analysis - a framework for unsupervised integration of multi-omic data sets” by Ricard Argelaguet, Britta Velten, Damien Arnol, Sascha Dietrich, Thorsten Zenz, John C. Marioni, Wolfgang Huber, Florian Buettner, and Oliver Stegle. https://doi.org/10.1101/217554 I selected this article for review for two reasons: Methods integrating multiple types of ‘Omics data are in great demand, both in bulk tissues and at the single-cell level. I have an interest in methods that use factor analysis to capture biological and technical sources of variation. »