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Article

ACOCMPMI: An Ant Colony Optimization Algorithm Based on Composite Multiscale Part Mutual Information for Detecting Epistatic Interactions.

Human mutation - 1 Jan 2025

Sun Yan, Wang Jing, Zhang Yaxuan, Shang Junliang, Liu Jin-Xing

Abstract excerpt

Epistatic interaction detection plays a pivotal role in understanding the genetic mechanisms underlying complex diseases. The effectiveness of epistatic interaction detection methods primarily depends on their interaction quantification measures and search strategies. In this study, a two-stage ant colony optimization algorithm based on composite multiscale part mutual information (ACOCMPMI) is proposed for...

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Topics

Epistasis, Genetic
Algorithms
Humans
Polymorphism, Single Nucleotide
Bayes Theorem
Models, Genetic

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Macular Degeneration

Computational Biology

Computer Simulation

Source

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Identifiers

PMID: 40548258
DOI: 10.1155/humu/7656300
PMCID: PMC12181671

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