Multiset correlation and factor analysis enables exploration of multi-omics data

Brown, B. C., Wang, C., Kasela, S., Aguet, F., Nachun, D. C., Taylor, K. D., Tracy, R. P., Durda, P., Liu, Y., Johnson, W. C., Van Den Berg, D., Gupta, N., Gabriel, S., Smith, J. D., Gerzsten, R., Clish, C., Wong, Q., Papanicolau, G., Blackwell, T. W., … Lappalainen, T. (2023). Multiset correlation and factor analysis enables exploration of multi-omics data. Cell Genomics, 3(8), 100359. https://doi.org/10.1016/j.xgen.2023.100359
Authors:
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 Gabriel
Joshua D Smith
Robert Gerzsten
Clary Clish
Quenna Wong
George Papanicolau
Thomas W Blackwell
Jerome I Rotter
Stephen S Rich
R Graham Barr
Kristin G Ardlie
David A Knowles
Tuuli Lappalainen
Affiliated Authors:
Brielin C Brown
Collin Wang
Silva Kasela
R Graham Barr
David A Knowles
Tuuli Lappalainen
Publication Type:
Article
Unique ID:
10.1016/j.xgen.2023.100359
PMID:
Journal:
Publication Date:
Data Source:
PubMed

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