TianshiLu

[TianshiLu @TianshiLu1]

Our work was published on Nature Machine Intelligence https://t.co/NHFHeXPlgg for predicting the binding specificity between TCRs and antigens. @TaoWang27112003 @ZeZhang4 @AReubenPhD

[Tao Wang Lab UTSW @TaoWang27112003]

Our newest work published in Nature Machine Intelligence today, for predicting the pairing between TCRs and T cell antigens! https://t.co/PkvmA9bc1z @TianshiLu1 @ZeZhang4 @AReubenPhD @utswcancer @UTSWNews

[Tao Wang Lab UTSW @TaoWang27112003]

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

[Tao Wang Lab UTSW @TaoWang27112003]

We have created a browser to view the immune vulnerability profile of the 2019-nCoV: https://t.co/BXgmahjFpf
#2019nCoV
@QBRC_UTSW
We hope this will be useful resource for researchers to study the immunological aspect of this virus, and also SARS and MERS

[TianshiLu @TianshiLu1]

Our method for neoantigenicity assessment considering clonality and immunogenicity is online now!

[Tao Wang Lab UTSW @TaoWang27112003]

Our work published today shows that tumor neoantigenicity assessment needs to consider both clonality and immunogenicity to better predict immunotherapy outcomes, rather than to simply count neoantigen load. @QBRC_UTSW @utswcancer @UTSWNews @TianshiLu1
https://t.co/LENdPSURQl

[Tao Wang Lab UTSW @TaoWang27112003]

#mdpigenes SCINA: Semi-Supervised Analysis of Single Cells in Silico https://t.co/2j9VClrRGJ @Genes_MDPI In this paper, we provided a methodology, SCINA, for typing and subtyping of single cells from single cell sequencing and cytometry data, using a supervised approach.

[UTSW Simmons Cancer Center @utswcancer]

UT Southwestern researchers have found that a protein in the body’s innate immune system can suppress the most common type of liver cancer, hepatocellular carcinoma (HCC). Read more: https://t.co/w46DBhSjis

[Tao Wang Lab UTSW @TaoWang27112003]

We carry out our own solid methodological research (biostat models, bioinformatics software, database, etc), and also collaborate widely. Our collaboration with Dr. Hao Zhu led to our recent Cell publication! @Zhu_Lab

[Tao Wang Lab UTSW @TaoWang27112003]

The Tao Wang lab/QBRC is looking to recruit more talented bioinformatics post-docs and staff scientists, with a focus on tumor genomics/genetics. We welcome talented people to join us! Here is our ad for more information: https://t.co/LcLVngj7kH

[TianshiLu @TianshiLu1]

Somatic Mutations Increase Hepatic Clonal Fitness and Regeneration in Chronic Liver Disease.

[Tao Wang Lab UTSW @TaoWang27112003]

Great collaborative work with Hao Zhu lab published online today at Cell! Somatic Mutations Increase Hepatic Clonal Fitness and Regeneration in Chronic Liver Disease https://t.co/9XMfckeF41