Novel methods for detecting epistasis in pharmacogenomics studies.
about
Power of grammatical evolution neural networks to detect gene-gene interactions in the presence of error.Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses.Bayesian mixture modeling of gene-environment and gene-gene interactionsAn omnibus permutation test on ensembles of two-locus analyses can detect pure epistasis and genetic heterogeneity in genome-wide association studies.Bioinformatics challenges for genome-wide association studies.Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseasesModel-based multifactor dimensionality reduction for detecting epistasis in case-control data in the presence of noise.Performance analysis of novel methods for detecting epistasis.Integrating heterogeneous high-throughput data for meta-dimensional pharmacogenomics and disease-related studiesA robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility.Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes.Bioinformatics challenges for personalized medicineStatistical Optimization of Pharmacogenomics Association Studies: Key Considerations from Study Design to AnalysisGenomic Scans of Zygotic Disequilibrium and Epistatic SNPs in HapMap Phase III PopulationsThe success of pharmacogenomics in moving genetic association studies from bench to bedside: study design and implementation of precision medicine in the post-GWAS era.Pathway and network-based analysis of genome-wide association studies in multiple sclerosis.Epistasis and its implications for personal genetics.The Interaction Between Allelic Variants of CD86 and CD40LG: A Common Risk Factor of Allergic Asthma and Rheumatoid Arthritis.Assessing gene-gene interactions in pharmacogenomics.Dexamethasone-induced FKBP51 expression in peripheral blood mononuclear cells could play a role in predicting the response of asthmatics to treatment with corticosteroids.Grammatical evolution decision trees for detecting gene-gene interactions.Enabling personal genomics with an explicit test of epistasis.Pharmacogenetic Analysis of the Model-Based Pharmacokinetics of Five Anti-HIV Drugs: How Does This Influence the Effect of Aging?Gene-Gene Interactions Among PRKCA, NOS3 and BDKRB2 Polymorphisms Affect the Antihypertensive Effects of Enalapril.Pharmacogenomics of Hypertension and Preeclampsia: Focus on Gene-Gene Interactions.The search for gene-gene interactions in genome-wide association studies: challenges in abundance of methods, practical considerations, and biological interpretation.Elucidating Gene-by-Environment Interactions Associated with Differential Susceptibility to Chemical Exposure
P2860
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P2860
Novel methods for detecting epistasis in pharmacogenomics studies.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Novel methods for detecting epistasis in pharmacogenomics studies.
@en
type
label
Novel methods for detecting epistasis in pharmacogenomics studies.
@en
prefLabel
Novel methods for detecting epistasis in pharmacogenomics studies.
@en
P2860
P1433
P1476
Novel methods for detecting epistasis in pharmacogenomics studies.
@en
P2093
Alison A Motsinger
David M Reif
P2860
P304
P356
10.2217/14622416.8.9.1229
P577
2007-09-01T00:00:00Z