Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Rezarta Islamaj Dogan"'
Motivation Interest in text mining full-text biomedical research articles is growing. To facilitate automated processing of nearly 3 million full-text articles (in PubMed Central® Open Access and Author Manuscript subsets) and to improve interoperab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3efcce7c6b99879b70ca3f958110ff3
https://europepmc.org/articles/PMC6748740/
https://europepmc.org/articles/PMC6748740/
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
Autor:
Chih-Hsuan Wei, Donald C. Comeau, Andrew Chatr-aryamontri, Rezarta Islamaj Dogan, Yifan Peng, Zhiyong Lu, Sun Kim
Publikováno v:
BioNLP
The Precision Medicine Track in BioCre-ative VI aims to bring together the Bi-oNLP community for a novel challenge focused on mining the biomedical litera-ture in search of mutations and protein-protein interactions (PPI). In order to support this tr
Publikováno v:
Journal of Biomedical Informatics. 47:1-10
Information encoded in natural language in biomedical literature publications is only useful if efficient and reliable ways of accessing and analyzing that information are available. Natural language processing and text mining tools are therefore ess
Autor:
Zhiyong Lu, Won Kim, Sun Kim, Lana Yeganova, Donald C. Comeau, W. John Wilbur, Wanli Liu, Rezarta Islamaj Dogan
Publikováno v:
Journal of the Association for Information Science and Technology
Log analysis shows that PubMed users frequently use author names in queries for retrieving scientific literature. However, author name ambiguity may lead to irrelevant retrieval results. To improve the PubMed user experience with author name queries,
Publikováno v:
Bioinformatics
Motivation: Despite the central role of diseases in biomedical research, there have been much fewer attempts to automatically determine which diseases are mentioned in a text—the task of disease name normalization (DNorm)—compared with other norm
Autor:
Donald C. Comeau, W. John Wilbur, Andrew Chatr-aryamontri, Sun Kim, Kara Dolinski, Jennifer M. Rust, Rose Oughtred, Mike Tyers, Rezarta Islamaj Dogan, Christie S. Chang
Publikováno v:
Database: The Journal of Biological Databases and Curation
A great deal of information on the molecular genetics and biochemistry of model organisms has been reported in the scientific literature. However, this data is typically described in free text form and is not readily amenable to computational analyse
Autor:
Sun Kim, Jennifer M. Rust, Dongseop Kwon, Riza Theresa Batista-Navarro, K. Vijay-Shanker, David Campos, Arzucan Özgür, Yu Chen Su, Jacob Carter, Onkar Singh, Yung-Chun Chang, Andrew Chatr-aryamontri, Wen-Lian Hsu, Cecilia N. Arighi, Mike Tyers, Rezarta Islamaj Dogan, Hong-Jie Dai, Christie S. Chang, José Luís Oliveira, Donald C. Comeau, Kara Dolinski, W. John Wilbur, Rose Oughtred, Soo-Yong Shin, Ferhat Aydın, Yifan Peng, Jitendra Jonnagaddala, Zehra Melce Hüsünbeyi, Chun Han Chu, André Santos, Emily Chia Yu Su, Cathy H. Wu, Sophia Ananiadou, Chien Chin Chen, Sérgio Matos
Publikováno v:
Database: The Journal of Biological Databases and Curation
Database
Database
BioC is a simple XML format for text, annotations and relations, and was developed to achieve interoperability for biomedical text processing. Following the success of BioC in BioCreative IV, the BioCreative V BioC track addressed a collaborative tas
Autor:
Stéphanie Boué, Rezarta Islamaj Dogan, Lynette Hirschman, Nikos C. Kyrpides, Kevin Bretonnel Cohen, Karën Fort
Publikováno v:
Database-The journal of Biological Databases and Curation
Database-The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, ⟨10.1093/database/baw115⟩
Database: The Journal of Biological Databases and Curation
Hirschman, L; Fort, K; Boue, S; Kyrpides, N; Dogan, RI; & Cohen, KB. (2016). Crowdsourcing and curation: perspectives from biology and natural language processing. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. doi: 10.1093/database/baw115. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/3cz3q48m
Database-The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, ⟨10.1093/database/baw115⟩
Database: The Journal of Biological Databases and Curation
Hirschman, L; Fort, K; Boue, S; Kyrpides, N; Dogan, RI; & Cohen, KB. (2016). Crowdsourcing and curation: perspectives from biology and natural language processing. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. doi: 10.1093/database/baw115. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/3cz3q48m
Crowdsourcing is increasingly utilized for performing tasks in both natural language processing and biocuration. Although there have been many applications of crowdsourcing in these fields, there have been fewer high-level discussions of the methodol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9d9ca1a5ae5f362413bbb18bc933345
https://hal.inria.fr/hal-01373210
https://hal.inria.fr/hal-01373210
Publikováno v:
Journal of Biomedical Informatics. 44:310-318
Information processing algorithms require significant amounts of annotated data for training and testing. The availability of such data is often hindered by the complexity and high cost of production. In this paper, we investigate the benefits of a s