Haopeng Wang

TcrDesign generates experimentally validated, functional, full-length TCRs using deep learning, achieving state-of-the-art performance in binding prediction and sequence generation.

This study uses phosphotyrosine proteomics to analyze CAR-T cells from patients and donors, finding heightened tyrosine phosphorylation and tonic signaling linked to therapeutic efficacy.

The paper introduces ISnorm, a normalization method for single-cell RNA sequencing data using internal spike-in-like genes, which improves downstream analysis by accounting for transcriptome heterogeneity.

This paper introduces multi-level barcoding to address clonal heterogeneity in pooled genetic screens and demonstrates its ability to resolve cellular heterogeneity issues.