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Article

Integration and deconvolution methodology deciphering prognosis-related signatures in lung adenocarcinoma

2023-08-10

Abstract excerpt

<h4>Purpose: </h4> To develop a machine learning classifier using 16 prognosis-related genes (PRGs) to stratify lung adenocarcinoma (LUAD) patients according to their risk score. Validate the model's performance, interpretability and generalizability. Investigate the role of PRGs in LUAD prognosis through single-cell and bulk transcriptome analysis. Methods We constructed a machine learning classifier based on 16...

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Literature Corpus work
a7a5fe58-165f-5e43-96e0-0cddde89adac
DOI
10.21203/rs.3.rs-3233906/v1
Open publication

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Integration and deconvolution methodology deciphering prognosis-related signatures in lung adenocarcinomaDOI 10.21203/rs.3.rs-3233906/v1
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