Featured Publications
scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles
Zhu B, Wang Y, Ku L, van Dijk D, Zhang L, Hafler D, Zhao H. scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles. Genome Biology 2023, 24: 292. PMID: 38111007, PMCID: PMC10726524, DOI: 10.1186/s13059-023-03129-y.Peer-Reviewed Original Research
2023
Cell-type-specific co-expression inference from single cell RNA-sequencing data
Su C, Xu Z, Shan X, Cai B, Zhao H, Zhang J. Cell-type-specific co-expression inference from single cell RNA-sequencing data. Nature Communications 2023, 14: 4846. PMID: 37563115, PMCID: PMC10415381, DOI: 10.1038/s41467-023-40503-7.Peer-Reviewed Original ResearchMassively parallel knock-in engineering of human T cells
Dai X, Park J, Du Y, Na Z, Lam S, Chow R, Renauer P, Gu J, Xin S, Chu Z, Liao C, Clark P, Zhao H, Slavoff S, Chen S. Massively parallel knock-in engineering of human T cells. Nature Biotechnology 2023, 41: 1239-1255. PMID: 36702900, PMCID: PMC11260498, DOI: 10.1038/s41587-022-01639-x.Peer-Reviewed Original Research