Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease
about
Considerations for using genetic and epigenetic information in occupational health risk assessment and standard settingMR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomizationSystematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitusThe next generation of risk assessment multiyear study - highlights of findings, applications to risk assessment, and future directionsAnalytical Complexity in Detection of Gene Variant-by-Environment Exposure Interactions in High-Throughput Genomic and Exposomic ResearchExposome informatics: considerations for the design of future biomedical research information systemsExpert panel workshop consensus statement on the role of the environment in the development of autoimmune diseaseSystems biology approach reveals genome to phenome correlation in type 2 diabetesToxoplasmosis and Polygenic Disease Susceptibility Genes: Extensive Toxoplasma gondii Host/Pathogen Interactome Enrichment in Nine Psychiatric or Neurological DisordersEnvironment-wide association study (EWAS) for type 2 diabetes in the Marshfield Personalized Medicine Research Project BiobankThe identification of complex interactions in epidemiology and toxicology: a simulation study of boosted regression treesGenetic associations with micronutrient levels identified in immune and gastrointestinal networks.Disease risk factors identified through shared genetic architecture and electronic medical recordsDevelopment of exposome correlation globes to map out environment-wide associationsPersonalized sequencing and the future of medicine: discovery, diagnosis and defeat of disease.Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts.Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility.Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.
P2860
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P2860
Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Data-driven integration of epi ...... rs in association with disease
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Data-driven integration of epi ...... rs in association with disease
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Data-driven integration of epi ...... rs in association with disease
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Data-driven integration of epi ...... rs in association with disease
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type
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Data-driven integration of epi ...... rs in association with disease
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Data-driven integration of epi ...... rs in association with disease
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Data-driven integration of epi ...... rs in association with disease
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Data-driven integration of epi ...... rs in association with disease
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Data-driven integration of epi ...... rs in association with disease
@ast
Data-driven integration of epi ...... rs in association with disease
@en
Data-driven integration of epi ...... rs in association with disease
@en-gb
Data-driven integration of epi ...... rs in association with disease
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P2860
P3181
P356
P1433
P1476
Data-driven integration of epi ...... rs in association with disease
@en
P2093
Chirag J Patel
P2860
P304
P3181
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10.1093/BIOINFORMATICS/BTS229
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P50
P577
2012-06-15T00:00:00Z