Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.
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Interaction between interleukin 3 and dystrobrevin-binding protein 1 in schizophreniaAMBIENCE: a novel approach and efficient algorithm for identifying informative genetic and environmental associations with complex phenotypesInformation-theoretic gene-gene and gene-environment interaction analysis of quantitative traitsInformation-theoretic metrics for visualizing gene-environment interactionsAn application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene interactions on risk of myocardial infarction: the importance of model validationScreening large-scale association study data: exploiting interactions using random forestsA survey about methods dedicated to epistasis detectionBridging the gap between statistical and biological epistasis in Alzheimer's diseaseTransdisciplinary approaches enhance the production of translational knowledgeSLC23A2-05 (rs4987219) and KRAS-LCS6 (rs61764370) polymorphisms in patients with squamous cell carcinoma of the head and neckInteractions among genetic variants in apoptosis pathway genes, reflux symptoms, body mass index, and smoking indicate two distinct etiologic patterns of esophageal adenocarcinomaCommon variants of the G protein-coupled receptor type 4 are associated with human essential hypertension and predict the blood pressure response to angiotensin receptor blockade.Practical and theoretical considerations in study design for detecting gene-gene interactions using MDR and GMDR approachesGenetic regulation of Nrxn1 [corrected] expression: an integrative cross-species analysis of schizophrenia candidate genesPUMA: a unified framework for penalized multiple regression analysis of GWAS dataExamination of polymorphic glutathione S-transferase (GST) genes, tobacco smoking and prostate cancer risk among men of African descent: a case-control studyPower of multifactor dimensionality reduction and penalized logistic regression for detecting gene-gene interaction in a case-control study.Extension of multifactor dimensionality reduction for identifying multilocus effects in the GAW14 simulated dataA forest-based feature screening approach for large-scale genome data with complex structures.Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic dataA novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics dataGenetic associations in preterm birth: a primer of marker selection, study design, and data analysis.Multifactor-dimensionality reduction versus family-based association tests in detecting susceptibility loci in discordant sib-pair studies.A role for CETP TaqIB polymorphism in determining susceptibility to atrial fibrillation: a nested case control studyThe challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases.Data-mining methods as useful tools for predicting individual drug response: application to CYP2D6 data.Detection of gene x gene interactions in genome-wide association studies of human population data.Methodological issues in detecting gene-gene interactions in breast cancer susceptibility: a population-based study in Ontario.Polymorphism Interaction Analysis (PIA): a method for investigating complex gene-gene interactions.Logistic regression trees for initial selection of interesting loci in case-control studies.Exploring epistasis in candidate genes for rheumatoid arthritis.Alternative contingency table measures improve the power and detection of multifactor dimensionality reductionA method for detecting epistasis in genome-wide studies using case-control multi-locus association analysis.Power of grammatical evolution neural networks to detect gene-gene interactions in the presence of error.Estimating the single nucleotide polymorphism genotype misclassification from routine double measurements in a large epidemiologic sample.Association of interacting genes in the toll-like receptor signaling pathway and the antibody response to pertussis vaccinationIdentification of gene-gene interactions in the presence of missing data using the multifactor dimensionality reduction method.Missing call bias in high-throughput genotyping.Apoptotic engulfment pathway and schizophreniaDoes replication groups scoring reduce false positive rate in SNP interaction discovery?
P2860
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P2860
Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.
description
2003 nî lūn-bûn
@nan
2003 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
name
Power of multifactor dimension ...... py, and genetic heterogeneity.
@ast
Power of multifactor dimension ...... py, and genetic heterogeneity.
@en
type
label
Power of multifactor dimension ...... py, and genetic heterogeneity.
@ast
Power of multifactor dimension ...... py, and genetic heterogeneity.
@en
prefLabel
Power of multifactor dimension ...... py, and genetic heterogeneity.
@ast
Power of multifactor dimension ...... py, and genetic heterogeneity.
@en
P356
P1433
P1476
Power of multifactor dimension ...... py, and genetic heterogeneity.
@en
P2093
Lance W Hahn
P304
P356
10.1002/GEPI.10218
P577
2003-02-01T00:00:00Z