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Modeling causality for pairs of phenotypes in system genetics

Modeling causality for pairs of phenotypes in system genetics

http://www.wikidata.org/entity/Q36643803

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JOINT ANALYSIS OF SNP AND GENE EXPRESSION DATA IN GENETIC ASSOCIATION STUDIES OF COMPLEX DISEASES.Bayesian network reconstruction using systems genetics data: comparison of MCMC methods Interrogating causal pathways linking genetic variants, small molecule metabolites, and circulating lipids Novel distal eQTL analysis demonstrates effect of population genetic architecture on detecting and interpreting associations Linking traits based on their shared molecular mechanisms.Next Generation Mapping of Enological Traits in an F2 Interspecific Grapevine Hybrid Family.Systems genetics approaches to understand complex traits.Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data.Systems genetics reveals key genetic elements of drought induced gene regulation in diploid potato.C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysis.Mapping eQTL networks with mixed graphical Markov models.Temporal genetic association and temporal genetic causality methods for dissecting complex networks

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Modeling causality for pairs of phenotypes in system genetics

http://www.wikidata.org/entity/Q36643803

description

2013 nî lūn-bûn

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2013年の論文

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2013年論文

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2013年论文

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name

Modeling causality for pairs of phenotypes in system genetics

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Modeling causality for pairs of phenotypes in system genetics

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type

label

Modeling causality for pairs of phenotypes in system genetics

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Modeling causality for pairs of phenotypes in system genetics

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Modeling causality for pairs of phenotypes in system genetics

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Modeling causality for pairs of phenotypes in system genetics

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GENETICS.112.147124

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Modeling causality for pairs of phenotypes in system genetics

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Aimee T Broman

http://www.w3.org/2001/XMLSchema#string

Alan D Attie

http://www.w3.org/2001/XMLSchema#string

Bin Zhang

http://www.w3.org/2001/XMLSchema#string

Brian S Yandell

http://www.w3.org/2001/XMLSchema#string

Elias Chaibub Neto

http://www.w3.org/2001/XMLSchema#string

Jun Zhu

http://www.w3.org/2001/XMLSchema#string

Mark P Keller

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P2860

Statistical significance for genomewide studies

Functional discovery via a compendium of expression profiles.

Disentangling molecular relationships with a causal inference test

Harnessing naturally randomized transcription to infer regulatory relationships among genes

Empirical threshold values for quantitative trait mapping

An integrative genomics approach to infer causal associations between gene expression and disease

R/qtl: QTL mapping in experimental crosses

Causal inference of regulator-target pairs by gene mapping of expression phenotypes.

Increasing the power to detect causal associations by combining genotypic and expression data in segregating populations.

Theory and limitations of genetic network inference from microarray data.

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