Julia Somers

UniVI integrates multimodal single-cell data using a mixture-of-experts β-variational autoencoder, improving cross-modal alignment and label transfer across various data types and study designs.

This paper introduces Priori, a method to predict transcription factor activity from RNA sequencing data, showing it outperforms existing methods in detecting aberrant activity and identifying disease-related factors.

The paper describes the development of a computational knowledge repository, the COVID-19 Disease Map, which curates SARS-CoV-2 virus-host interaction mechanisms and provides tools for their analysis and application.

The paper systematically examines mutation groupings in cancer genes to identify downstream expression programs and reveals functional divergence among mutations within the same gene.