Identification of a New Lung Cancer Biomarker Signature Using Data Mining and Preliminary In Vitro Validation

<b>Background:</b> Lung adenocarcinoma is one of the major subtype of non-Small Cell Lung Cancer and biomarkers are essential to be identified for early diagnosis. The study aims to find in silico and preliminary in vitro analysis of potential biomarkers for lung adenocarcinoma. <b>...

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Bibliographic Details
Main Authors:	Ferid Ben Ali, Denis Mustafov, Maria Braoudaki, Sola Adeleke, Iosif Mporas
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	BioMedInformatics
Subjects:	lung adenocarcinoma bioinformatics analysis in vitro analysis machine learning LASSO mRMR
Online Access:	https://www.mdpi.com/2673-7426/5/2/32
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Identification of a New Lung Cancer Biomarker Signature Using Data Mining and Preliminary In Vitro Validation

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