Happening this Friday!
Our next journal club will introduce joint sparse canonical correlation analysis (jsCCA), a multistage method that integrates multi-omics data (CNA, methylation, expression) with clinical outcomes to identify interpretable, outcome-associated molecular modules in cancer.
@geneticepi.bsky.socialIn our last journal club of the year, Diptavo Dutta will present his jsCCA method for integrating multi-omic data with clinical outcomes.
📅 Dec. 19, 2025
⏰ 11 am (EST), 8 am (PST), 5 pm (CET)
📍 Zoom
📄 onlinelibrary.wiley.com/doi/10.1002/...
Register here: msm-edu.zoom.us/meeting/regi...
onlinelibrary.wiley.com
Identifying genes associated with disease outcomes using joint sparse canonical correlation analysis—An application in renal clear cell carcinoma
Somatic changes like copy number aberrations (CNAs) and epigenetic alterations like methylation have pivotal effects on disease outcomes and prognosis in cancer, by regulating gene expressions, that ...