Integrated Analysis of MATH-Based Subtypes Reveals a Novel Screening Strategy for Early-Stage Lung Adenocarcinoma

Integrated Analysis of MATH-Based Subtypes Reveals a Novel Screening Strategy for Early-Stage Lung Adenocarcinoma

Lung adenocarcinoma (LUAD) is a frequently diagnosed cancer type, and many patients have already reached an advanced stage when diagnosed. Thus, it is crucial to develop a novel and efficient approach to diagnose and classify lung adenocarcinoma at an early stage. In our study, we combined in silico...

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Bibliographic Details
Main Authors: Chang Li, Chen Tian, Yulan Zeng, Jinyan Liang, Qifan Yang, Feifei Gu, Yue Hu, Li Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
lung adenocarcinoma
diagnosis
mutant allele tumor heterogeneity
machine learning
classification
immunotherapy
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2022.769711/full

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