Generating samples for association studies based on HapMap data.
about
A latent variable partial least squares path modeling approach to regional association and polygenic effect with applications to a human obesity studyBOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studiesA novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics dataDetection for gene-gene co-association via kernel canonical correlation analysis.Random Projection for Fast and Efficient Multivariate Correlation Analysis of High-Dimensional Data: A New ApproachA powerful latent variable method for detecting and characterizing gene-based gene-gene interaction on multiple quantitative traitsA Markov blanket-based method for detecting causal SNPs in GWASSimulating gene-gene and gene-environment interactions in complex diseases: Gene-Environment iNteraction Simulator 2Generation of synthetic data and experimental designs in evaluating interactions for association studies.GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architecturesA PLSPM-based test statistic for detecting gene-gene co-association in genome-wide association study with case-control design.Detecting epistatic effects in association studies at a genomic level based on an ensemble approachAn Efficient Stepwise Statistical Test to Identify Multiple Linked Human Genetic Variants Associated with Specific Phenotypic Traits.A novel strategy for detecting multiple loci in Genome-Wide Association Studies of complex diseases.A powerful score-based test statistic for detecting gene-gene co-associationA gene-based information gain method for detecting gene-gene interactions in case-control studies.SITDEM: a simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypesGlobal haplotype partitioning for maximal associated SNP pairs.A survey of genetic simulation software for population and epidemiological studies.Prioritize and select SNPs for association studies with multi-stage designs.High-throughput analysis of epistasis in genome-wide association studies with BiForce.Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification
P2860
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P2860
Generating samples for association studies based on HapMap data.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
name
Generating samples for association studies based on HapMap data.
@ast
Generating samples for association studies based on HapMap data.
@en
type
label
Generating samples for association studies based on HapMap data.
@ast
Generating samples for association studies based on HapMap data.
@en
prefLabel
Generating samples for association studies based on HapMap data.
@ast
Generating samples for association studies based on HapMap data.
@en
P2860
P356
P1433
P1476
Generating samples for association studies based on HapMap data.
@en
P2093
Yixuan Chen
P2860
P2888
P356
10.1186/1471-2105-9-44
P50
P577
2008-01-24T00:00:00Z
P5875
P6179
1026961648