PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

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PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

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2013 nî lūn-bûn

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2013年の論文

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2013年学术文章

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2013年学术文章

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2013年学术文章

@zh-hans

2013年学术文章

@zh-my

2013年学术文章

@zh-sg

2013年學術文章

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2013年學術文章

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2013年學術文章

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name

PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

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PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

@nl

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Item

label

PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

@en

PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

@nl

prefLabel

PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

@en

PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

@nl

P1476

PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY

@en

P2093

Jennifer Listgarten

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

Quaid Morris

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

Steven E Brenner

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

P2860

Learning a prior on regulatory potential from eQTL data

Statistical significance for genomewide studies

Common SNPs explain a large proportion of the heritability for human height

A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies.

Joint genetic analysis of gene expression data with inferred cellular phenotypes

Mixed linear model approach adapted for genome-wide association studies.

An integrative method for scoring candidate genes from association studies: application to warfarin dosing.

Correction for hidden confounders in the genetic analysis of gene expression

Variance component model to account for sample structure in genome-wide association studies

New approaches to population stratification in genome-wide association studies.

P304

171-174

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P31

scholarly article

P478

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

P50

Oliver Stegle

P577

2013-01-01T00:00:00Z

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

P698

23424122

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P932

5894351

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