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10.1093/bioinformatics/btw331 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw331 C5039918!5039918!27288493     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2016 ; 32 (19): 3044-6 Nephropedia Template TP {{tp|p=27288493|t=2016. Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms |pdf=|usr=}}{{27288493}} gab.com Text Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27288493 #FOAvip Summary: Medical Subject Headings (MeSH®) is a controlled vocabulary for indexing and searching biomedical literature. MeSH terms and subheadings are organized in a hierarchical structure and are used to indicate the topics of an article. Biologists can use either MeSH terms as queries or the MeSH interface provided in PubMed® for searching PubMed abstracts. However, these are rarely used, and there is no convenient way to link standardized MeSH terms to user queries. Here, we introduce a web interface which allows users to enter queries to find MeSH terms closely related to the queries. Our method relies on co-occurrence of text words and MeSH terms to find keywords that are related to each MeSH term. A query is then matched with the keywords for MeSH terms, and candidate MeSH terms are ranked based on their relatedness to the query. The experimental results show that our method achieves the best performance among several term extraction approaches in terms of topic coherence. Moreover, the interface can be effectively used to find full names of abbreviations and to disambiguate user queries.Availability and Implementation:https://www.ncbi.nlm.nih.gov/IRET/MESHABLE/Contact:sun.kim@nih.gov Supplementary information:Supplementary data are available at Bioinformatics online. Twit Text FOAVip Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27288493 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27288493 #FOAvip English Wikipedia <ref>{{Cite pmid|27288493}}</ref> Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms #MMPMID27288493 Kim S; Yeganova L; Wilbur WJ Bioinformatics 2016[Oct]; 32 (19): 3044-6 PMID27288493show ga Summary: Medical Subject Headings (MeSH®) is a controlled vocabulary for indexing and searching biomedical literature. MeSH terms and subheadings are organized in a hierarchical structure and are used to indicate the topics of an article. Biologists can use either MeSH terms as queries or the MeSH interface provided in PubMed® for searching PubMed abstracts. However, these are rarely used, and there is no convenient way to link standardized MeSH terms to user queries. Here, we introduce a web interface which allows users to enter queries to find MeSH terms closely related to the queries. Our method relies on co-occurrence of text words and MeSH terms to find keywords that are related to each MeSH term. A query is then matched with the keywords for MeSH terms, and candidate MeSH terms are ranked based on their relatedness to the query. The experimental results show that our method achieves the best performance among several term extraction approaches in terms of topic coherence. Moreover, the interface can be effectively used to find full names of abbreviations and to disambiguate user queries.Availability and Implementation:https://www.ncbi.nlm.nih.gov/IRET/MESHABLE/Contact:sun.kim@nih.gov Supplementary information:Supplementary data are available at Bioinformatics online. äMeshable: searching PubMed abstracts by utilizing MeSH and MeSH-derive(epmc).pdf DeepDyve Pubget Overpricing