Epi-SSA: A novel epistasis detection method based on a multi-objective sparrow search algorithm

Genome-wide association studies typically considers epistatic interactions as a crucial factor in exploring complex diseases. However, the current methods primarily concentrate on the detection of two-order epistatic interactions, with flaws in accuracy. In this work, we introduce a novel method cal...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one Jg. 19; H. 10; S. e0311223
Hauptverfasser:	Sun, Liyan, Bian, Jingwen, Xin, Yi, Jiang, Linqing, Zheng, Linxuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 24.10.2024
Schlagworte:	Accuracy Adaptability Algorithms Biology and Life Sciences Computer and Information Sciences Computer Simulation Datasets Deep learning Disease Disease control Efficiency Epistasis Epistasis, Genetic Flaw detection Genes Genetic algorithms Genetic epistasis Genetic screening Genome-wide association studies Genome-Wide Association Study - methods Genomes Humans Medical research Medicine and Health Sciences Medicine, Experimental Methods Models, Genetic Multitasking Optimization algorithms Pathogenesis Performance evaluation Physical Sciences Polymorphism, Single Nucleotide Research and Analysis Methods Search algorithms Single-nucleotide polymorphism Source code Task complexity Testing China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!