Wubing Zhang

The paper introduces CytoTRACE 2, a deep learning framework to assess cell potency from scRNA-seq data, showing improved performance across multiple datasets and applications.

MetaTiME identifies data-driven meta-components in tumor immune microenvironment scRNA-seq data to annotate cell states and reveal transcriptional regulators.

CytoSPACE aligns single-cell and spatial transcriptomes using convex linear optimization, outperforming existing methods in noise-tolerance, accuracy, and efficiency.

The paper develops a machine learning model to predict protein degradability for targeted protein degradation, identifying key features and extending predictions to the proteome.