A document level neural model integrated domain knowledge for chemical-induced disease relations-Reference-Cited by-同舟云学术

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A document level neural model integrated domain knowledge for chemical-induced disease relations

Published:2018-09-17 Issue:1 Volume:19 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Zheng Wei,Lin Hongfei,Liu Xiaoxia,Xu Bo

Funder

National Natural Science Foundation of China

Major State Research Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-018-2316-x.pdf

Reference42 articles.

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3. Davis AP, Grondin CJ, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, King BL, Wiegers TC, Mattingly CJ. The comparative Toxicogenomics Database’s 10th year anniversary: update 2015. Nucleic Acids Res. 2014;43(D1):D914–20.

4. Wei C-H, Peng Y, Leaman R, Davis AP, Mattingly CJ, Li J, Wiegers TC, Lu Z. Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task. Database. 2016;2016:baw032.

5. Davis AP, Wiegers TC, Roberts PM, King BL, Lay JM, Lennon-Hopkins K, Sciaky D, Johnson R, Keating H, Greene N. A CTD–Pfizer collaboration: manual curation of 88 000 scientific articles text mined for drug–disease and drug–phenotype interactions. Database. 2013;2013:bat080.

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