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Prediction of Prognosis, Efficacy of Lung Adenocarcinoma by Machine Learning Model Based on Immune and Metabolic Related Genes

2024-08-11

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<title>Abstract</title> <p>Background The aim of this study is to integrate immune and metabolism-related genes in order to construct a predictive model for predicting the prognosis and treatment response of LUAD(lung adenocarcinoma) patients, aiming to address the challenges posed by this highly lethal and heterogeneous disease. Material and Methods Using TCGA-LUAD as the training subset, differential gene exp...

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Literature Corpus work
cf3190a8-3b2c-572d-b49a-b7eda7b6c89d
DOI
10.21203/rs.3.rs-4700280/v1
Open publication

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