Zheng Wang

The paper evaluates 24 computational methods for predicting non-coding variant function and pathogenicity across four benchmark datasets, finding varying performance across different variant types.

This study uses single-cell RNA sequencing to analyze transcriptional changes and lineage dynamics in the subventricular zone after mild traumatic brain injury, identifying new cell subpopulations and molecular alterations.

This paper introduces MuPIPR, a deep learning framework that estimates mutation effects on protein-protein interactions by using contextualized amino acid representations and a Siamese residual recurrent convolutional encoder.