CONTRASTIVE LINEAR REGRESSION.

ABSTRACT: Contrastive dimension reduction methods have been developed for case-control study data to identify variation that is enriched in the foreground (case) data X relative to the background (control) data Y . Here we develop contrastive regression for the setting where there is a response variable r associated with each foreground observation. This situation occurs frequently when, for example, the unaffected controls do not have a disease grade or intervention dosage, but the affected cases have a disease grade or intervention dosage, as in autism severity, solid tumors stages, polyp sizes, or warfarin dosages. Our contrastive regression model captures shared low-dimensional variation between the predictors in the case and control groups and then explains the case-specific response variables

SUBMITTER: Zhang B 

PROVIDER: S-EPMC12692120 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature