Yan Ren

Event Segmentation and Linguistic Granularity in Direct/Indirect Causation: Unraveling the Mind-Language Interface

This study investigates how cognitive segmentation and semantic integration shape syntactic encoding of direct and indirect causation in Mandarin Chinese through two experiments.

Connecting omics signatures of diseases, drugs, and mechanisms of actions with iLINCS

iLINCS provides a web-based platform for analyzing omics signatures of diseases and cellular perturbations through integrative analytics and visualization tools.

Integrative signatures of signaling pathway response increase robustness and accuracy of pathway predictions

The paper develops a framework to predict signaling pathway activity changes by integrating genetic perturbation data across cell lines, improving prediction accuracy using multi-task learning and supervised methods.

Predicting mechanism of action of cellular perturbations with pathway activity signatures

The paper develops a method to predict the mechanism of action of cellular perturbations by analyzing pathway network topology and transcriptional signatures.