Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nagesh C. Panyam"'
Publikováno v:
Journal of Biomedical Semantics, Vol 9, Iss 1, Pp 1-11 (2018)
Abstract Background Relation extraction from biomedical publications is an important task in the area of semantic mining of text. Kernel methods for supervised relation extraction are often preferred over manual feature engineering methods, when clas
Externí odkaz:
https://doaj.org/article/371acf6df19f4fafbba8d05ad6dec043
Autor:
Zhuang Liu, Rui Antunes, Rezarta Islamaj Dogan, Hong-Jie Dai, Berna Altinel, Arzucan Özgür, Zhiyong Lu, Ramakanth Kavuluru, Hongfang Liu, Nagesh C. Panyam, Chen-Kai Wang, Chih-Hsuan Wei, Sérgio Matos, Aparna Elangovan, Donald C. Comeau, Andrew Chatr-aryamontri, Jinchan Qu, Karin Verspoor, Jinfeng Zhang, Albert Steppi, Ling Luo, Yanshan Wang, Sun Kim, Qingyu Chen, Tung Tran, Zehra Melce Hüsünbeyi, Aris Fergadis
Publikováno v:
Database: The Journal of Biological Databases and Curation
The Precision Medicine Initiative is a multicenter effort aiming at formulating personalized treatments leveraging on individual patient data (clinical, genome sequence and functional genomic data) together with the information in large knowledge bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c09c42ede70403b24ba3383ab0f986b
https://hdl.handle.net/11424/243979
https://hdl.handle.net/11424/243979
Publikováno v:
Database: The Journal of Biological Databases and Curation
Precision medicine aims to provide personalized treatments based on individual patient profiles. One critical step towards precision medicine is leveraging knowledge derived from biomedical publications—a tremendous literature resource presenting t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eb961f2d0ee351c349ba6a7b585e6c4
http://europepmc.org/articles/PMC6301335
http://europepmc.org/articles/PMC6301335
Publikováno v:
Journal of Biomedical Semantics, Vol 9, Iss 1, Pp 1-11 (2018)
Journal of Biomedical Semantics
Journal of Biomedical Semantics
Background Relation extraction from biomedical publications is an important task in the area of semantic mining of text. Kernel methods for supervised relation extraction are often preferred over manual feature engineering methods, when classifying h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc26798afde6684901c9a35615a7911c
https://doi.org/10.1186/s13326-017-0168-3
https://doi.org/10.1186/s13326-017-0168-3
Publikováno v:
BioNLP (Shared Task)
This paper describes the system details and results of the participation of the team from the University of Melbourne in the SeeDev binary event extraction of BioNLP-Shared Task 2016. This task addresses the extraction of genetic and molecular mechan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dd7744311e4e589aae32b9517c42c9f
https://doi.org/10.18653/v1/w16-3010
https://doi.org/10.18653/v1/w16-3010