Multifactor dimensionality reduction-phenomics: a novel method to capture genetic heterogeneity with use of phenotypic variables.
about
Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic informationThe serotonin system in autism spectrum disorder: From biomarker to animal modelsThe gene-gene interaction of INSIG-SCAP-SREBP pathway on the risk of obesity in Chinese children.Gene-gene interactions in the folate metabolic pathway and the risk of conotruncal heart defectsBioinformatics challenges for genome-wide association studies.Analysis of gene-gene interactions.Weighted risk score-based multifactor dimensionality reduction to detect gene-gene interactions in nasopharyngeal carcinomaA robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility.Multivariate dimensionality reduction approaches to identify gene-gene and gene-environment interactions underlying multiple complex traits.Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction.Gene-gene interaction and functional impact of polymorphisms on innate immune genes in controlling Plasmodium falciparum blood infection level.A roadmap to multifactor dimensionality reduction methodsFamily-based association study of ITGB3 in autism spectrum disorder and its endophenotypes.Absence of preference for social novelty and increased grooming in integrin β3 knockout mice: initial studies and future directions.Neuroimaging endophenotypes in animal models of autism spectrum disorders: lost or found in translation?Reverse Pathway Genetic Approach Identifies Epistasis in Autism Spectrum Disorders.Association and gene-gene interaction of SLC6A4 and ITGB3 in autism.Catecholaminergic gene variants: contribution in ADHD and associated comorbid attributes in the eastern Indian probands.Epistasis and its implications for personal genetics.Modeling rare gene variation to gain insight into the oldest biomarker in autism: construction of the serotonin transporter Gly56Ala knock-in mouse.Cell adhesion molecules and their involvement in autism spectrum disorder.Multi-variant study of obesity risk genes in African Americans: The Jackson Heart Study.Neuroanatomical Assessment of the Integrin β3 Mouse Model Related to Autism and the Serotonin System Using High Resolution MRI.SVM-based generalized multifactor dimensionality reduction approaches for detecting gene-gene interactions in family studies.Significance of Dopaminergic Gene Variants in the Male Biasness of ADHD.pHCR: a parallel haplotype configuration reduction algorithm for haplotype interaction analysis.Analysis of Gene-Gene Interactions
P2860
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P2860
Multifactor dimensionality reduction-phenomics: a novel method to capture genetic heterogeneity with use of phenotypic variables.
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
Multifactor dimensionality red ...... h use of phenotypic variables.
@ast
Multifactor dimensionality red ...... h use of phenotypic variables.
@en
type
label
Multifactor dimensionality red ...... h use of phenotypic variables.
@ast
Multifactor dimensionality red ...... h use of phenotypic variables.
@en
prefLabel
Multifactor dimensionality red ...... h use of phenotypic variables.
@ast
Multifactor dimensionality red ...... h use of phenotypic variables.
@en
P2093
P2860
P356
P1476
Multifactor dimensionality red ...... h use of phenotypic variables.
@en
P2093
P2860
P304
P356
10.1086/522307
P407
P577
2007-10-23T00:00:00Z