SH3GL2 and MMP17 as lung adenocarcinoma biomarkers: a machine-learning based approach

SH3GL2 and MMP17 as lung adenocarcinoma biomarkers: a machine-learning based approach

Objective: Using bioinformatics machine learning methods, our research aims to identify the potential key genes associated with Lung adenocarcinoma (LUAD). Methods: We obtained two gene expression profiling microarrays (GSE68571 and GSE74706) from the public Gene Expression Omnibus (GEO) database at...

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Bibliographic Details
Main Authors: Zengjian Tian, Shilong Yu, Ruizhi Cai, Yinghui Zhang, Qilun Liu, Yongzhao Zhu
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Biochemistry and Biophysics Reports
Subjects:
Lung adenocarcinoma
Bioinformatics
Machine-learning method
Biomarkers
Genes
Online Access:http://www.sciencedirect.com/science/article/pii/S2405580824000578

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http://www.sciencedirect.com/science/article/pii/S2405580824000578

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