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

Multi-omics datasets are becoming more common, necessitating better integration methods to realize their revolutionary potential. Here, we introduce multi-set correlation and factor analysis (MCFA), an unsupervised integration method tailored to the unique challenges of high-dimensional genomics dat...

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Detalles Bibliográficos
Autores principales: Brown, Brielin C., Wang, Collin, Kasela, Silva, Aguet, François, Nachun, Daniel C., Taylor, Kent D., Tracy, Russell P., Durda, Peter, Liu, Yongmei, Johnson, W. Craig, Van Den Berg, David, Gupta, Namrata, Gabriel, Stacy, Smith, Joshua D., Gerzsten, Robert, Clish, Clary, Wong, Quenna, Papanicolau, George, Blackwell, Thomas W., Rotter, Jerome I., Rich, Stephen S., Barr, R. Graham, Ardlie, Kristin G., Knowles, David A., Lappalainen, Tuuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Short Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435377/
https://www.ncbi.nlm.nih.gov/pubmed/37601969
http://dx.doi.org/10.1016/j.xgen.2023.100359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435377/
https://www.ncbi.nlm.nih.gov/pubmed/37601969
http://dx.doi.org/10.1016/j.xgen.2023.100359

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