Identifying Effective Feature Selection Methods for Alzheimer’s Disease Biomarker Gene Detection Using Machine Learning

Identifying Effective Feature Selection Methods for Alzheimer’s Disease Biomarker Gene Detection Using Machine Learning

Alzheimer’s disease (AD) is a complex genetic disorder that affects the brain and has been the focus of many bioinformatics research studies. The primary objective of these studies is to identify and classify genes involved in the progression of AD and to explore the function of these risk genes in...

Full description

Bibliographic Details
Main Authors: Hala Alshamlan, Samar Omar, Rehab Aljurayyad, Reham Alabduljabbar
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Diagnostics
Subjects:
data mining
genetic disease prediction
Alzheimer disease
gene expression
feature selection
classification
Online Access:https://www.mdpi.com/2075-4418/13/10/1771

Internet

https://www.mdpi.com/2075-4418/13/10/1771

Similar Items