TMBserval: a statistical explainable learning model reveals weighted tumor mutation burden better categorizing therapeutic benefits

A high tumor mutation burden (TMB) is known to drive the response to immune checkpoint inhibitors (ICI) and is associated with favorable prognoses. However, because it is a one-dimensional numerical representation of non-synonymous genetic alterations, TMB suffers from clinical challenges due to its...

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Detalles Bibliográficos
Autores principales: Wang, Yixuan, Wang, Jiayin, Fang, Wenfeng, Xiao, Xiao, Wang, Quan, Zhao, Jian, Liu, Jingjing, Yang, Shuanying, Liu, Yuqian, Lai, Xin, Song, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208409/
https://www.ncbi.nlm.nih.gov/pubmed/37234148
http://dx.doi.org/10.3389/fimmu.2023.1151755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208409/
https://www.ncbi.nlm.nih.gov/pubmed/37234148
http://dx.doi.org/10.3389/fimmu.2023.1151755

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