Wenyu Zeng

Wenyu Zeng

she/her

PhD student in Biomedical & Health Informatics at the University of Washington. My research focuses on building scalable computational pipelines that integrate spatial transcriptomics and single-cell sequencing data to study glioblastoma heterogeneity. I’m passionate about combining biomedical data science and translational research to better understand tumor biology and identify therapeutic targets. Beyond research, I enjoy data visualization, teaching, and exploring new ways to make complex data accessible and meaningful.

Predicting Chemical Toxicity using a Hierarchical Bayesian Approach with Tox21 Assay Data

Date:

Poster presentation on how we built hierarchical bayesian model to predict chemical toxicity with Tox21 data assays. Logistic regression and Naive Bayesian were also built to serve as baseline models to compare with the hierarchical bayesian model.