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Volumn , Issue , 2009, Pages 26-31

A ground truth based comparative study on detecting epistatic SNPs

Author keywords

Genome wide association study; Single nucleotide polymorphism; SNP interaction

Indexed keywords

COMPARATIVE STUDIES; COMPLEX DISEASE; DATA SETS; DETECTION METHODS; DISEASE RISKS; GENETIC REGULATION; GENOME-WIDE ASSOCIATION; GROUND TRUTH; REALISTIC SIMULATION; RELATIVE PERFORMANCE; SINGLE NUCLEOTIDE POLYMORPHISMS;

EID: 72849125604     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBMW.2009.5332132     Document Type: Conference Paper
Times cited : (13)

References (11)
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    • A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility
    • Jul 21
    • J. Moore, et al., "A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility", Journal of Theoretical Biology, vol. 241, pp. 252-61, Jul 21 2006.
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    • J. Moore , et. al, "Multifactor-Dimensionality Reduction Reveals High-Order Interactions among Estrogen-Metabolism Genes in Sporadic Breast Cancer", American Journal of Human Genetics, vol. 69, pp.138-147, 2001.
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  • 8
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