Multiset correlation and factor analysis enables exploration of multi-omic data
Brielin C. Brown, Collin Wang, Silva Kasela, François Aguet, Daniel C. Nachun, Kent D. Taylor, Russell P. Tracy, Peter Durda, Yongmei Liu, W. Craig Johnson, David Van Den Berg, Namrata Gupta, Stacy B. Gabriel, Joshua D. Smith, Robert Edgardo Gerszten, , Tuuli Lappalainen
This paper introduces MCFA, an unsupervised integration method for multi-omic data, and applies it to five omics types across 614 samples to infer shared and private factors.
Cell Genomics · Jul 10, 2023Peer-reviewedGenomics