Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers

Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers

Abstract Background Tumor mutation burden (TMB) has been considered a biomarker for utilization of immune checkpoint inhibitors(ICIs), but whole exome sequencing(WES) and cancer gene panel(CGP) based on next generation sequencing for TMB detection are costly. Here, we use transcriptome data of TCGA...

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Bibliographic Details
Main Authors: Beibei Hu, Guohui Yin, Jialin Zhu, Yi Bai, Xuren Sun
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Gastrointestinal cancers
Tumor mutation burden
Deep neural network
Transcriptome
Prediction model
Online Access:https://doi.org/10.1186/s12911-024-02794-8
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https://doi.org/10.1186/s12911-024-02794-8

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