New machine and deep learning method identifies Alzheimer's disease biomarkers and potential targets - Mindplex

Alzheimer's disease (AD), the most common cause of dementia and impaired cognitive function, still has no effective treatment, according to researchers. So research is centered on identifying AD biomarkers and targets. Now, scientists at King Abdullah University of Science and Technology in Saudi Arabia have created a computational method that identifies AD biomarkers and targets. It combines multiple "hub gene" ranking methods and "feature selection" methods with machine learning and deep learning.To identify hub genes and gene subsets, the researchers used three AD gene expression datasets using six ranking algorithms and two feature-selection methods. The researchers then created machine learning and deep learning models to identify the gene subset that best distinguished Alzheimer's disease samples from healthy controls.