Biomedical Literature Mining by Vinod D. Kumar, Hannah Jane Tipney

By Vinod D. Kumar, Hannah Jane Tipney

Biomedical Literature Mining, discusses the a number of elements of recent biomedical literature mining and its many purposes in genomics and platforms biology. the amount is split into 3 sections concentrating on info retrieval, built-in text-mining ways and domain-specific mining tools. Written within the hugely winning Methods in Molecular Biology sequence structure, chapters comprise introductions to their respective issues, lists of the mandatory fabrics and reagents, step by step, simply reproducible laboratory protocols and key tips about troubleshooting and keeping off recognized pitfalls.

Authoritative and sensible, Biomedical Literature Mining is designed as an invaluable bioinformatics source in biomedical literature textual content mining for either these lengthy skilled in or totally new to, the field.

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16. 17. 18. 19. 20. 21. of nine text-based similarity approaches. PloS One 6(3):e18029. pone. 0018029 Lin J, Wilbur WJ (2007) PubMed related articles: a probabilistic topic-based model for content similarity. BMC Bioinformatics 8:423. 1186/1471-2105-8-423 Yiotis K (2005) The open access initiative: a New paradigm for scholarly communications. Inform Tech Libr 24(4):157–162 Wikipedia PubMed Central. org/wiki/PubMed_Central . Accessed 13 Jul 2013 Davis PM (2013) Public accessibility of biomedical articles from PubMed Central reduces journal readership: retrospective cohort analysis.

37. 38. 29 Scholar, Scopus and Web of Science. Biomed Digit Libr 3:7. 1186/1742-5581-3-7 Falagas ME, Pitsouni EI, Malietzis GA et al (2008) Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses. FASEB J 22(2):338–342. : A comparison of WoS, Scopus and Google Scholar. Scientometrics 74(2):257–271 Web of science. Thomson Reuters. com/web-of-science/ Scopus: document search. Elsevier. url The Thomson Reuters journal selection process. Thomson Reuters. com/ essays/journal-selection-process/ Tuomilehto J, Lindstrom J, Eriksson JG et al (2001) Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance.

24 Ritu Khare et al. Users may also switch to a keyword search with a single click. Quertle also supports a list of predefined query keywords that refer to entity types of varying granularity. A Web-based text mining application named PubTator [53, 54] was recently developed to support manual biocuration [55–58]. Because finding articles relevant to specific biological entities (such as gene/protein) is often the first step in biocuration, PubTator supports entity-specific semantic searches based on the use of several competition-winning named entity recognition tools [59–64].

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