Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection
Machine learning (ML) methods are increasingly becoming crucial in genome-wide association studies for identifying key genetic variants or SNPs that statistical methods might overlook. Statistical methods pred...
Source: Journal of Translational Medicine - Category: Research Authors: Z. Alireza, M. Maleeha, M. Kaikkonen and V. Fortino Tags: Protocol Source Type: research