Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches

Abstract excerpt

Lung cancer is one of the most common cancer and the leading cause of cancer-related death worldwide. Early detection of lung cancer can help reduce the death rate; therefore, the identification of potential biomarkers is crucial. Thus, this study aimed to identify potential biomarkers for lung cancer by integrating bioinformatics analysis and machine learning (ML)-based approaches. Data were normalized using the...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bioinformatics and Genomic Networks
• Share to Ferroptosis and cancer prognosis
• Share to RNA modifications and cancer