HIGHLIGHTS
- who: Diptavo Dutta and colleagues from the Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland, United States of America have published the article: Sparse canonical correlation to identify breast cancer related genes regulated by copy number aberrations, in the Journal: PLOS ONE of June/16,/2022
- what: The authors demonstrate an innovative use of sparse canonical correlation analysis (sCCA) to effectively identify the ensemble of CNAs and gene modules in the context of binary and censored disease endpoints. As an example, analysis, the authors focus on two clinical outcomes: estrogen receptor status, which is a . . .
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