Canonical correlation analysis for multi-omics: Application to cross-cohort analysis

Integrative approaches that simultaneously model multi-omics data have gained increasing popularity because they provide holistic system biology views of multiple or all components in a biological system of interest. Canonical correlation analysis (CCA) is a correlation-based integrative method desi...

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Vydané v:	PLoS genetics Ročník 19; číslo 5; s. e1010517
Hlavní autori:	Jiang, Min-Zhi, Aguet, François, Ardlie, Kristin, Chen, Jiawen, Cornell, Elaine, Cruz, Dan, Durda, Peter, Gabriel, Stacey B., Gerszten, Robert E., Guo, Xiuqing, Johnson, Craig W., Kasela, Silva, Lange, Leslie A., Lappalainen, Tuuli, Liu, Yongmei, Reiner, Alex P., Smith, Josh, Sofer, Tamar, Taylor, Kent D., Tracy, Russell P., VanDenBerg, David J., Wilson, James G., Rich, Stephen S., Rotter, Jerome I., Love, Michael I., Raffield, Laura M., Li, Yun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 22.05.2023 Public Library of Science (PLoS)
Predmet:	Arteriosclerosis Associations Biological analysis Biology and life sciences Blood Body mass index Canonical Correlation Analysis Cohort analysis Cohort Studies Correlation analysis Data mining Datasets DNA methylation Genetic research Genetic variation Humans Leukocytes Medical genetics Methods Multiomics Multivariate analysis Phenotypic variations Physical Sciences Proteomics Proteomics - methods Research and Analysis Methods Variables United States
ISSN:	1553-7404, 1553-7390, 1553-7404
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