Article
Using machine learning to predict and analyze complex trait diseases: Lessons from a simple abstract model.
PloS one - 1 Jan 2026
Maimon Eden, Bondi Ori, Moult John, Unger Ron
Abstract excerpt
The ability to predict individual genetic susceptibility to a complex trait disease is a major challenge in modern medicine. One approach to addressing this challenge utilizes an additive combination of contributions from a large number of single nucleotide polymorphisms (SNPs), with weights derived from Genome Wide Association Studies (GWAS). While this approach is somewhat successful in predicting whether an...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
