Our latest work: A comparative study of multiple instance learning methods for cancer d... https://t.co/yeGML2i1yh 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 https://t.co/QcTiQwVdPF @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
https://t.co/OxuGJQBb3V
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 https://t.co/mThXG5atsq @Genes_MDPI