TCellSI: A Novel Method for T Cell State Assessment and Its Applications in Immune Environment Prediction

Authors

Jing-Min Yang
Nan Zhang
Tao Luo
Mei Yang
Wen-Kang Shen
Zhen-Lin Tan
Yun Xia
Libin Zhang
Xiaobo Zhou
Qian Lei
An-Yuan Guo

Language

English

Publication Date

10-1-2024

Journal

iMeta

DOI

10.1002/imt2.231

PMID

39429885

PMCID

PMC11487559

PubMedCentral® Posted Date

8-26-2024

PubMedCentral® Full Text Version

Post-print

Abstract

T cell is an indispensable component of the immune system and its multifaceted functions are shaped by the distinct T cell types and their various states. Although multiple computational models exist for predicting the abundance of diverse T cell types, tools for assessing their states to characterize their degree of resting, activation, and suppression are lacking. To address this gap, a robust and nuanced scoring tool called T cell state identifier (TCellSI) leveraging Mann-Whitney

Keywords

T cell states, TCellSI, TCSS, immune profiling, immunotherapy

Published Open-Access

yes

Recommended Citation

Yang, Jing-Min; Zhang, Nan; Luo, Tao; et al., "TCellSI: A Novel Method for T Cell State Assessment and Its Applications in Immune Environment Prediction" (2024). Faculty, Staff and Student Publications. 632.
https://digitalcommons.library.tmc.edu/uthshis_docs/632