Investigating differentially expressed genes in colorectal cancer datasets using a bioinformatics approach

Simple item page
dc.contributor.authorSama Milhem
dc.contributor.authorTasnim Nour
dc.contributor.authorHaneen Nur
dc.date.accessioned2025-10-04T06:46:34Z
dc.date.available2025-10-04T06:46:34Z
dc.date.issued2025-06-01
dc.description.abstractBackground: 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.
dc.identifier.urihttps://dspace.alquds.edu/handle/20.500.12213/10172
dc.language.isoen
dc.publisherDeanship of Research - Al-Quds University
dc.titleInvestigating differentially expressed genes in colorectal cancer datasets using a bioinformatics approach
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Investigating differentially expressed genes in colorectal cancer datasets using a bioinformatics approach.pdf
Size:
288.24 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
HEALTH PROFESSIONS and Public Health