It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Biomedical databases grow by more than a thousand new publications every day. The large volume of biomedical literature that is being published at an unprecedented rate hinders the discovery of relevant knowledge from keywords of interest to gather new insights and form hypotheses. A text-mining tool, PubTator, helps to automatically annotate bioentities, such as species, chemicals, genes, and diseases, from PubMed abstracts and full-text articles. However, the manual re-organization and analysis of bioentities is a non-trivial and highly time-consuming task. ChexMix was designed to extract the unique identifiers of bioentities from query results. Herein, ChexMix was used to construct a taxonomic tree with allied species among Korean native plants and to extract the medical subject headings unique identifier of the bioentities, which co-occurred with the keywords in the same literature. ChexMix discovered the allied species related to a keyword of interest and experimentally proved its usefulness for multi-species analysis.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Kangwon National University, Department of Pharmacy, Chuncheon, Republic of Korea (GRID:grid.412010.6) (ISNI:0000 0001 0707 9039); Bionsight, Inc., Chuncheon, Republic of Korea (GRID:grid.412010.6)
2 Bionsight, Inc., Chuncheon, Republic of Korea (GRID:grid.412010.6); Kangwon National University, Department of Information Statistics, Chuncheon, Republic of Korea (GRID:grid.412010.6) (ISNI:0000 0001 0707 9039)
3 Bionsight, Inc., Chuncheon, Republic of Korea (GRID:grid.412010.6)
4 Kangwon National University, Department of Pharmacy, Chuncheon, Republic of Korea (GRID:grid.412010.6) (ISNI:0000 0001 0707 9039)