The Spherical Evolutionary Multi-Objective (SEMO) Algorithm for Identifying Disease Multi-Locus SNP Interactions

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,...

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Veröffentlicht in:	Genes Jg. 15; H. 1; S. 11
Hauptverfasser:	Ren, Fuxiang, Li, Shiyin, Wen, Zihao, Liu, Yidi, Tang, Deyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 20.12.2023
Schlagworte:	Algorithms Breast cancer breast neoplasms data collection Datasets Disease Disease susceptibility Evolution Genetic aspects Genomes Genotype & phenotype Heuristic memory Optimization pathogenesis Single nucleotide polymorphisms Single-nucleotide polymorphism Canada biogenetic markers multi-objective optimization disease models single-nucleotide polymorphisms multi-locus SNP interactions spherical evolutionary algorithms
ISSN:	2073-4425, 2073-4425
Online-Zugang:	Volltext
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