Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A genetic algorithm-support vector machine method with parameter optimization for selecting the tag SNPs.

Journal of biomedical informatics - 1 Apr 2013

Ilhan Ilhan, Tezel Gülay

Abstract excerpt

SNPs (Single Nucleotide Polymorphisms) include millions of changes in human genome, and therefore, are promising tools for disease-gene association studies. However, this kind of studies is constrained by the high expense of genotyping millions of SNPs. For this reason, it is required to obtain a suitable subset of SNPs to accurately represent the rest of SNPs. For this purpose, many methods have been developed...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Databases, Genetic
Share to Genomics
Share to Models, Genetic

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

Share to Polymorphism, Single Nucleotide

Share to Support Vector Machine

Source

Identifiers

PMID: 23262450
DOI: 10.1016/j.jbi.2012.12.002

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A genetic algorithm-support vector machine method with parameter optimization for selecting the tag SNPs.PMID 23262450Read ↗

How to select tag SNPs in genetic association studies? The CLONTagger method with parameter optimization.Semantic proximity Read ↗

Predicting single nucleotide polymorphisms (SNP) from DNA sequence by support vector machine.Semantic proximity Read ↗

Informative SNP Selection Based on a Fuzzy Clustering and Improved Binary Particle Swarm Optimization Algorithm.Semantic proximity Read ↗

Assessing effectiveness of many-objective evolutionary algorithms for selection of tag SNPs.Semantic proximity Read ↗

A novel method to select informative SNPs and their application in genetic association studies.Semantic proximity Read ↗

Identification of type 2 diabetes-associated combination of SNPs using support vector machine.Semantic proximity Read ↗

An efficient weighted tag SNP-set analytical method in genome-wide association studies.Semantic proximity Read ↗

Multi-objective tag SNPs selection using evolutionary algorithms.Semantic proximity Read ↗

SNP selection in genome-wide association studies via penalized support vector machine with MAX test.Semantic proximity Read ↗

Tagging SNP-set selection with maximum information based on linkage disequilibrium structure in genome-wide association studies.Semantic proximity Read ↗

SNPs selection using support vector regression and genetic algorithms in GWAS.Semantic proximity Read ↗

A novel approach for the identification of single nucleotide polymorphisms.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.