An "almost exhaustive" search-based sequential permutation method for detecting epistasis in disease association studies.
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A primer to frequent itemset mining for bioinformaticsHigh-order SNP combinations associated with complex diseases: efficient discovery, statistical power and functional interactions.Association mapping of blood pressure levels in a longitudinal framework using binomial regression.Integrating binary traits with quantitative phenotypes for association mapping of multivariate phenotypes.Discriminative pattern mining and its applications in bioinformatics.Association of killer cell immunoglobulin-like receptor (KIR) genes and their HLA ligands with susceptibility to Behçet's disease.
P2860
An "almost exhaustive" search-based sequential permutation method for detecting epistasis in disease association studies.
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2010 nî lūn-bûn
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2010年の論文
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2010年論文
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2010年論文
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name
An "almost exhaustive" search- ...... n disease association studies.
@en
type
label
An "almost exhaustive" search- ...... n disease association studies.
@en
prefLabel
An "almost exhaustive" search- ...... n disease association studies.
@en
P2093
P2860
P356
P1433
P1476
An "almost exhaustive" search- ...... n disease association studies.
@en
P2093
Carlos Iribarren
Narges B Asadi
Wing H Wong
P2860
P304
P356
10.1002/GEPI.20496
P577
2010-07-01T00:00:00Z