Automated interpretable artificial intelligence genomic prediction with AIGP.

Abstract excerpt

Predicting phenotypes from genomic mutations remains a major genetic challenge. Traditional statistical methods (such as GBLUP and BayesR) have limitations, including reliance on artificial prior assumptions, and hard to capture epistatic effects. Machine learning (ML) has emerged as a powerful alternative for genomic prediction; however, it often struggles with interpretability because of its black-box nature....

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Genomics
• Share to Algorithms
• Share to Artificial Intelligence