crossrefApplied Sciences2026-07-09
Discovering Potential Taxonomic Biomarkers of Gastrointestinal Cancers from Various Human Microbiota via G-S-M Machine Learning Approach
Beyza Canakcimaksutoglu, Nur Sebnem Ersoz, Burcu Bakir-Gungor, Malik Yousef
Analysis of microbial abundance profiles offers significant potential for improving cancer prediction and candidate biomarker discovery. This study aimed to identify cancer-associated microbial biomarkers across five gastrointestinal (GI) cancers: head and neck, esophagus, stomac…