Ze Zhang

Our newest work published in Nature Machine Intelligence today, for predicting the pairing between TCRs and T cell antigens! nature.com/articles/s4225… @TianshiLu1 @ZeZhang4 @AReubenPhD @utswcancer @UTSWNews

Our latest work: A comparative study of multiple instance learning methods for cancer d... sciencedirect.com/science/articl… Congrats to @DanyiXiong @ZeZhang4 ! @QBRC_UTSW

Proud to present a new work from my lab: detecting variants from scRNA-seq data and trace cellular lineages based on these variants cell.com/cell-reports/f… @QBRC_UTSW @TianshiLu1 @Zhu_Lab @CellReports

Guys check out my work fresh onboard! We developed a statistical methodology to interpret the functional relevance of the T cell receptor repertoire in various biomedical contexts. @naturemethods @BiomedicalEng13 @UTSWcomps @QBRC_UTSW #Ack1" target="_blank" rel="nofollow noopener">nature.com/articles/s4159…

My very first paper on single-cell advanced analysis tool. Many thanks to my mentor @TaoWang27112003 and lab members! #mdpigenes SCINA: Semi-Supervised Analysis of Single Cells in Silico mdpi.com/2073-4425/10/7… @Genes_MDPI