A Data Fusion Approach to Enhance Association Study in Epilepsy.

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A Data Fusion Approach to Enhance Association Study in Epilepsy.

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2016 nî lūn-bûn

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2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

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2016年论文

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2016年论文

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name

A Data Fusion Approach to Enhance Association Study in Epilepsy.

@ast

A Data Fusion Approach to Enhance Association Study in Epilepsy.

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Item

label

A Data Fusion Approach to Enhance Association Study in Epilepsy.

@ast

A Data Fusion Approach to Enhance Association Study in Epilepsy.

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prefLabel

A Data Fusion Approach to Enhance Association Study in Epilepsy.

@ast

A Data Fusion Approach to Enhance Association Study in Epilepsy.

@en

P1476

A Data Fusion Approach to Enhance Association Study in Epilepsy

@en

P2093

Alberto Malovini

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Annalisa Vetro

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Edoardo Errichiello

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Ettore Rizzo

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Ivan Limongelli

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Orsetta Zuffardi

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Tan Da

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P2860

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits

The InterPro protein families database: the classification resource after 15 years

The NHGRI GWAS Catalog, a curated resource of SNP-trait associations

Exome sequencing followed by large-scale genotyping fails to identify single rare variants of large effect in idiopathic generalized epilepsy

Genetic neurological channelopathies: molecular genetics and clinical phenotypes.

Sequencing technologies - the next generation

The BioGRID interaction database: 2015 update

The mystery of missing heritability: Genetic interactions create phantom heritability

Common genetic variation and susceptibility to partial epilepsies: a genome-wide association study

ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

P304

e0164940

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P31

scholarly article

P356

10.1371/JOURNAL.PONE.0164940

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P407

English

P433

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

P478

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P50

R Bellazzi

Simone Marini

P577

2016-12-16T00:00:00Z

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P698

27984588

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P932

5161322

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