Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.

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Deep learning for computational biology.Joint genetic analysis using variant sets reveals polygenic gene-context interactions.Role of DNA Methylation in Type 2 Diabetes Etiology: Using Genotype as a Causal Anchor.Genetic effects on gene expression across human tissues.

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Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.

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2016 nî lūn-bûn

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Modelling local gene networks ...... ic effects on gene expression.

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Modelling local gene networks ...... ic effects on gene expression.

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Modelling local gene networks ...... ic effects on gene expression.

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P1476

Modelling local gene networks ...... ic effects on gene expression.

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P2093

Barbara Rakitsch

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'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?

An integrated map of genetic variation from 1,092 human genomes

The Reactome pathway knowledgebase

Identification of an imprinted master trans regulator at the KLF14 locus related to multiple metabolic phenotypes

STRING 8--a global view on proteins and their functional interactions in 630 organisms

Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals

Capturing heterogeneity in gene expression studies by surrogate variable analysis

The genetic and mechanistic basis for variation in gene regulation

Systematic identification of trans eQTLs as putative drivers of known disease associations

Disentangling molecular relationships with a causal inference test

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s13059-016-0895-2

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scholarly article

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10.1186/S13059-016-0895-2

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Oliver Stegle

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2016-02-24T00:00:00Z

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295899854

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Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.

about

P2860

P2860

Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.

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P2860

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