MET network in PubMed: a text-mined network visualization and curation system.
MET network in PubMed: a text-mined network visualization and curation system.
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PubMed 中的 MET 网络：文本挖掘网络可视化和管理系统。
DOI：
10.1093/database/baw090
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Hsu,Wen-Lian
中科院分区：
文献类型：
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作者：
Dai,Hong-Jie;Su,Chu-Hsien;Lai,Po-Ting;Huang,Ming-Siang;Jonnagaddala,Jitendra;RoseJue,Toni;Rao,Shruti;Chou,Hui-Jou;Milacic,Marija;Singh,Onkar;Syed-Abdul,Shabbir;Hsu,Wen-Lian
转移是癌症/肿瘤从一个器官传播到另一个器官，是癌症进展过程中最危险的阶段，导致 90% 以上的癌症死亡。提高对转移背后的复杂细胞机制的理解需要对信号通路进行研究。为此，我们开发了 METastasis (MET) 网络可视化和管理工具，以帮助转移研究人员在浏览 PubMed 中的大量研究时检索感兴趣的网络信息。 MET可以通过文本挖掘技术识别文献中提到的基因、癌症、转移组织和器官之间的关系，然后生成转移网络中所有挖掘关系的可视化。为了促进管理过程，MET 被开发为浏览器扩展，允许管理人员直接在 PubMed 中审查和编辑与转移相关的概念和关系。 PubMed 用户还可以直接通过 MET 查看从大量研究论文中整合的转移网络。对于 BioCreative 2015 互动赛道 (IAT)，提出了一项管理任务来管理 PubMed 摘要之间的转移网络。六位策展人参与了拟议任务和 IAT 后任务，使用 MET.Database URL：http://btm.tmu.edu.tw/metastasisway 从 174 份 PubMed 摘要中策展了 963 个独特的转移关系
Metastasis is the dissemination of a cancer/tumor from one organ to another, and it is the most dangerous stage during cancer progression, causing more than 90% of cancer deaths. Improving the understanding of the complicated cellular mechanisms underlying metastasis requires investigations of the signaling pathways. To this end, we developed a METastasis (MET) network visualization and curation tool to assist metastasis researchers retrieve network information of interest while browsing through the large volume of studies in PubMed. MET can recognize relations among genes, cancers, tissues and organs of metastasis mentioned in the literature through text-mining techniques, and then produce a visualization of all mined relations in a metastasis network. To facilitate the curation process, MET is developed as a browser extension that allows curators to review and edit concepts and relations related to metastasis directly in PubMed. PubMed users can also view the metastatic networks integrated from the large collection of research papers directly through MET. For the BioCreative 2015 interactive track (IAT), a curation task was proposed to curate metastatic networks among PubMed abstracts. Six curators participated in the proposed task and a post-IAT task, curating 963 unique metastatic relations from 174 PubMed abstracts using MET.Database URL:http://btm.tmu.edu.tw/metastasisway