Using deep learning to identify translational research in genomic medicine beyond bench to bedside-Reference-Cited by-同舟云学术

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Using deep learning to identify translational research in genomic medicine beyond bench to bedside

Published:2019-01-01 Issue: Volume:2019 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Hsu Yi-Yu¹^ORCID,Clyne Mindy²,Wei Chih-Hsuan¹,Khoury Muin J³,Lu Zhiyong¹

Affiliation:

1. National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD, USA

2. Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA

3. Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, GA, USA

Funder

Intramural Research Programs of the National Institutes of Health, National Library of Medicine

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/baz010/27787712/baz010.pdf

Reference26 articles.

1. The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention;Khoury;Genet. Med.,2007

2. Horizon scanning for translational genomic research beyond bench to bedside;Clyne;Genet. Med.,2014

3. A knowledge base for tracking the impact of genomics on population health;Yu;Genet. Med.,2016

4. On expert curation and scalability: UniProtKB/Swiss-Prot as a case study;Poux;Bioinformatics,2017

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2. Artificial intelligence in clinical and translational science: Successes, challenges and opportunities;Clinical and Translational Science;2021-10-30

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