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Article

KNN-MDR: a learning approach for improving interactions mapping performances in genome wide association studies.

BMC bioinformatics - 21 Mar 2017

Abo Alchamlat Sinan, Farnir Frédéric

Abstract excerpt

BACKGROUND: Finding epistatic interactions in large association studies like genome-wide association studies (GWAS) with the nowadays-available large volume of genomic data is a challenging and largely unsolved issue. Few previous studies could handle genome-wide data due to the intractable difficulties met in searching a combinatorial explosive search space and statistically evaluating epistatic interactions...

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Share to Epistasis, Genetic
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PMID: 28327091
DOI: 10.1186/s12859-017-1599-7
PMCID: PMC5361736

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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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