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HiPub: translating PubMed and PMC texts to networks for knowledge discovery
- Lee, Kyubum;
- Shin, Wonho;
- Kim, Byounggun;
- Lee, Sunwon;
- Choi, Yonghwa;
- ... Kang, Jaewoo;
- 외 3명
WEB OF SCIENCE
14SCOPUS
15초록
We introduce HiPub, a seamless Chrome browser plug-in that automatically recognizes, annotates and translates biomedical entities from texts into networks for knowledge discovery. Using a combination of two different named-entity recognition resources, HiPub can recognize genes, proteins, diseases, drugs, mutations and cell lines in texts, and achieve high precision and recall. HiPub extracts biomedical entity-relationships from texts to construct context-specific networks, and integrates existing network data from external databases for knowledge discovery. It allows users to add additional entities from related articles, as well as user-defined entities for discovering new and unexpected entity-relationships. HiPub provides functional enrichment analysis on the biomedical entity network, and link-outs to external resources to assist users in learning new entities and relations.
- 제목
- HiPub: translating PubMed and PMC texts to networks for knowledge discovery
- 저자
- Lee, Kyubum; Shin, Wonho; Kim, Byounggun; Lee, Sunwon; Choi, Yonghwa; Kim, Sunkyu; Jeon, Minji; Tan, Aik Choon; Kang, Jaewoo
- 발행일
- 2016-09-15
- 유형
- Article
- 저널명
- Bioinformatics
- 권
- 32
- 호
- 18
- 페이지
- 2886 ~ 2888
- 언어
- ENG
- 출판사
- OXFORD UNIV PRESS
- 발행국가
- 영국
- 분량
- 3 페이지
- ISSN
- E 1367-4811
P 1367-4803