HLA-G gene polymorphisms as predictors of survival in colorectal cancer: A unified machine learning approach

HLA-G gene polymorphisms as predictors of survival in colorectal cancer: A unified machine learning approach

Objectives: Human Leukocyte Antigen (HLA-G) is a potent molecule involved in immune-tolerance. Here, we investigated the contribution of HLA-G gene polymorphisms (14 bp Ins/Del and +3142C/G) for accurate prediction of colorectal cancer (CRC) overall survival (OS) status. Our study presents a compreh...

Full description

Saved in:
Bibliographic Details
Main Authors: Marwa Hasni, Sabrine Dhouioui, Nadia Boujelbene, Youssef Harrath, Abdel Halim Harrath, Mohamed Ali Ayadi, Ines Zemni, Safa Bhar Layeb, Ines Zidi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of King Saud University: Science
Subjects:
HLA-G gene polymorphism
Colorectal cancer
Overall survival status
Machine learning
Decision tree
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S1018364724004762
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S1018364724004762

Similar Items