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Integration of Clinicopathological And Genomic Features To Predict The Risk Stratification of TCGA Lung Adenocarcinoma And Lung Squamous Cell Carcinoma Patients

2022-07-15

Abstract excerpt

<h4>Background</h4> Predicting lung adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC) risk cohorts is a crucial step in precision oncology. Currently, clinicians and patients are informed about the patient’s risk group via staging. Recently, several machine learning approaches are reported for the stratification of LUAD and LUSC patients, but there is no study comparatively assessing the integrated mod...

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Literature Corpus work
c8679c5f-cbd1-5898-aa23-4569ecd6dccd
DOI
10.1101/2022.07.14.22277645
Open publication

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Integration of Clinicopathological And Genomic Features To Predict The Risk Stratification of TCGA Lung Adenocarcinoma And Lung Squamous Cell Carcinoma PatientsDOI 10.1101/2022.07.14.22277645
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