AprioriGWAS, a new pattern mining strategy for detecting genetic variants associated with disease through interaction effects.
about
FHSA-SED: Two-Locus Model Detection for Genome-Wide Association Study with Harmony Search AlgorithmAn Efficient Stepwise Statistical Test to Identify Multiple Linked Human Genetic Variants Associated with Specific Phenotypic Traits.Genotype distribution-based inference of collective effects in genome-wide association studies: insights to age-related macular degeneration disease mechanism.Key Considerations and Methods in the Study of Gene-Environment Interactions.ancGWAS: a post genome-wide association study method for interaction, pathway and ancestry analysis in homogeneous and admixed populations.
P2860
AprioriGWAS, a new pattern mining strategy for detecting genetic variants associated with disease through interaction effects.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
AprioriGWAS, a new pattern min ...... e through interaction effects.
@ast
AprioriGWAS, a new pattern min ...... e through interaction effects.
@en
type
label
AprioriGWAS, a new pattern min ...... e through interaction effects.
@ast
AprioriGWAS, a new pattern min ...... e through interaction effects.
@en
prefLabel
AprioriGWAS, a new pattern min ...... e through interaction effects.
@ast
AprioriGWAS, a new pattern min ...... e through interaction effects.
@en
P2093
P2860
P1476
AprioriGWAS, a new pattern min ...... e through interaction effects.
@en
P2093
Qingrun Zhang
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003627
P577
2014-06-05T00:00:00Z