Investigating differentially expressed genes in colorectal cancer datasets using a bioinformatics approach
Date
2025-06-01
Authors
Sama Milhem
Tasnim Nour
Haneen Nur
Journal Title
Journal ISSN
Volume Title
Publisher
Deanship of Research - Al-Quds University
Abstract
Background: This study aimed to analyze GEO and TCGA data to enhance understanding of prognosis in early-stage colorectal cancer patients. Therefore, SLC26A3 and CLCA4 are supposed to be a risk classification markers for early-stage colorectal cancer and were discovered through bioinformatics tools.