Accurate discovery of expression quantitative trait loci under confounding from spurious and genuine regulatory hotspots.
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DNA methylation patterns associate with genetic and gene expression variation in HapMap cell linesDeep learning for computational biology.Using expression genetics to study the neurobiology of ethanol and alcoholismLearning transcriptional regulatory relationships using sparse graphical modelsDisentangling molecular relationships with a causal inference testHypothalamic transcriptomes of 99 mouse strains reveal trans eQTL hotspots, splicing QTLs and novel non-coding genesUnderstanding mechanisms underlying human gene expression variation with RNA sequencingNormalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.A robust approach to identifying tissue-specific gene expression regulatory variants using personalized human induced pluripotent stem cells.Correcting gene expression data when neither the unwanted variation nor the factor of interest are observedEfficient and Accurate Multiple-Phenotype Regression Method for High Dimensional Data Considering Population Structure.A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies.Genetic dissection of the Drosophila melanogaster female head transcriptome reveals widespread allelic heterogeneity.Making informed choices about microarray data analysisGene co-expression network connectivity is an important determinant of selective constraint.An independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait lociEffectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies.Integrative analysis of low- and high-resolution eQTLRemoving batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods.Differential expression analysis for RNAseq using Poisson mixed models.Effects of genome-wide copy number variation on expression in mammalian cells.Using control genes to correct for unwanted variation in microarray data.Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans.Joint modelling of confounding factors and prominent genetic regulators provides increased accuracy in genetical genomics studies.The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genesCorrection for hidden confounders in the genetic analysis of gene expressionUsing probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analysesGenetic regulation of mouse liver metabolite levels.Integrative genetic analysis of allergic inflammation in the murine lungVariation and genetic control of gene expression in primary immunocytes across inbred mouse strains.A model selection approach for expression quantitative trait loci (eQTL) mappingToxicogenetics: population-based testing of drug and chemical safety in mouse models.Polygenic modeling with bayesian sparse linear mixed models.Statistical analysis reveals co-expression patterns of many pairs of genes in yeast are jointly regulated by interacting loci.Variance component model to account for sample structure in genome-wide association studiesMixed-model coexpression: calculating gene coexpression while accounting for expression heterogeneity.Fast eQTL Analysis for Twin Studies.Dissecting the regulatory architecture of gene expression QTLs.Identification of the Bile Acid Transporter Slco1a6 as a Candidate Gene That Broadly Affects Gene Expression in Mouse Pancreatic Islets.Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication.
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Accurate discovery of expression quantitative trait loci under confounding from spurious and genuine regulatory hotspots.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
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scientific article published on 14 September 2008
@en
vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Accurate discovery of expressi ...... d genuine regulatory hotspots.
@en
Accurate discovery of expressi ...... d genuine regulatory hotspots.
@nl
type
label
Accurate discovery of expressi ...... d genuine regulatory hotspots.
@en
Accurate discovery of expressi ...... d genuine regulatory hotspots.
@nl
prefLabel
Accurate discovery of expressi ...... d genuine regulatory hotspots.
@en
Accurate discovery of expressi ...... d genuine regulatory hotspots.
@nl
P2860
P1433
P1476
Accurate discovery of expressi ...... d genuine regulatory hotspots.
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P2093
Hyun Min Kang
P2860
P304
P356
10.1534/GENETICS.108.094201
P407
P577
2008-09-14T00:00:00Z