The Implicitome: A Resource for Rationalizing Gene-Disease Associations

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Advanced literature analysis in a Big Data world.Recent advances in predicting gene-disease associations A collaborative filtering based approach to biomedical knowledge discovery.A putative role for genome-wide epigenetic regulatory mechanisms in Huntington’s disease: A computational assessment

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The Implicitome: A Resource for Rationalizing Gene-Disease Associations

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2016 nî lūn-bûn

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2016 թուականին հրատարակուած գիտական յօդուած

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The Implicitome: A Resource for Rationalizing Gene-Disease Associations

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The Implicitome: A Resource for Rationalizing Gene-Disease Associations

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The Implicitome: A Resource for Rationalizing Gene-Disease Associations

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The Implicitome: A Resource for Rationalizing Gene-Disease Associations

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Eelke van der Horst

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Emmelien Aten

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Erik A Schultes

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Herman H H B M van Haagen

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Jan A Kors

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Jeroen F J Laros

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Mark Thompson

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Martijn Schuemie

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Peter A C 't Hoen

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Rajaram Kaliyaperumal

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P2860

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research

The value of data

Mutations in WDR62, encoding a centrosome-associated protein, cause microcephaly with simplified gyri and abnormal cortical architecture

CEP152 is a genome maintenance protein disrupted in Seckel syndrome

Mutations in the human sterol delta7-reductase gene at 11q12-13 cause Smith-Lemli-Opitz syndrome.

Genetic evidence that the human CYP2R1 enzyme is a key vitamin D 25-hydroxylase

A centrosomal mechanism involving CDK5RAP2 and CENPJ controls brain size

Entrez Gene: gene-centered information at NCBI

Mutations in the Delta7-sterol reductase gene in patients with the Smith-Lemli-Opitz syndrome

Toward a complete dataset of drug-drug interaction information from publicly available sources

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The Implicitome: A Resource for Rationalizing Gene-Disease Associations

about

P2860

P2860

The Implicitome: A Resource for Rationalizing Gene-Disease Associations

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