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10.1093/database/baw090 http://scihub22266oqcxt.onion/10.1093/database/baw090 C4885604!4885604!27242035     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Database+(Oxford) 2016 ; 2016 (ä): ä Nephropedia Template TP {{tp|p=27242035|t=2016. MET network in PubMed: a text-mined network visualization and curation system |pdf=|usr=}}{{27242035}} gab.com Text MET network in PubMed: a text-mined network visualization and curation system JO: Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=27242035 #FOAvip 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 Twit Text FOAVip MET network in PubMed: a text-mined network visualization and curation system ????Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=27242035 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27242035 #FOAvip English Wikipedia <ref>{{Cite pmid|27242035}}</ref> MET network in PubMed: a text-mined network visualization and curation system #MMPMID27242035 Dai HJ; Su CH; Lai PT; Huang MS; Jonnagaddala J; Rose Jue T; Rao S; Chou HJ; Milacic M; Singh O; Syed-Abdul S; Hsu WL Database (Oxford) 2016[]; 2016 (ä): ä PMID27242035show ga 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 äMET network in PubMed: a text-mined network visualization and curation(epmc).pdf DeepDyve Pubget Overpricing