Article
The Spherical Evolutionary Multi-Objective (SEMO) Algorithm for Identifying Disease Multi-Locus SNP Interactions.
Genes - 20 Dec 2023
Ren Fuxiang, Li Shiyin, Wen Zihao, Liu Yidi, Tang Deyu
Abstract excerpt
Single-nucleotide polymorphisms (SNPs), as disease-related biogenetic markers, are crucial in elucidating complex disease susceptibility and pathogenesis. Due to computational inefficiency, it is difficult to identify high-dimensional SNP interactions efficiently using combinatorial search methods, so the spherical evolutionary multi-objective (SEMO) algorithm for detecting multi-locus SNP interactions was...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
