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Article

A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes.

Artificial intelligence in medicine - 1 Oct 2016

Chuang Li-Yeh, Moi Sin-Hua, Lin Yu-Da, Yang Cheng-Hong

Abstract excerpt

OBJECTIVE: Evolutionary algorithms could overcome the computational limitations for the statistical evaluation of large datasets for high-order single nucleotide polymorphism (SNP) barcodes. Previous studies have proposed several chaotic particle swarm optimization (CPSO) methods to detect SNP barcodes for disease analysis (e.g., for breast cancer and chronic diseases). This work evaluated additional chaotic maps...

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PMID: 27926379
DOI: 10.1016/j.artmed.2016.09.002

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MAF

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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