Topic Overview: Chikina and her group develop methods that incorporate intuition about biological processes into generic machine-learning models. In her lecture, Chikina will discuss her recent method, Pathway-level Information ExtractoR (PLIER), that produces pathway-level representations of gene expression data. This method infers cell-type proportions and pathway activities from any gene expression dataset, outperforming dedicated approaches. She will discuss how PLIER analysis can aid in interpreting complex genomic analyses like expression quantitative trait loci (eQTLs), as well as improve the concordance of phenotype association across different studies. Continuing Medical Education (CME) credit: To receive CME credit for this lecture, text the code CASBES to 412-312-4424 within 24 hours of the session’s start. (Your mobile phone number first must be linked to your account at cce.upmc.com.) You can also email kbg12@pitt.edu to receive credit for this session.
|
||||||||