LION LBD: a literature-based discovery system for cancer biology
نویسندگان
چکیده
منابع مشابه
Literature - based Discovery for Cancer Biology
Over the past decades, the volume of published biomedical literature has increased dramatically. PubMed (the US National Library of Medicine’s literature service) provides access to more than 23M citations, adding thousands of records daily. It is now impossible for scientists to read all the literature relevant to their field and critical hypothesis generating evidence is often discovered long...
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The most common malignant neoplasm of the head and neck region is laryngeal cancerwhich presents a significant international health problem. The present study aims to screenpotential proteins related to laryngeal cancer by network analysis to further understandingdisease pathogenesis and biomarker discovery. Differentially expressed proteins were extractedfrom literatures of laryngeal cancer th...
متن کاملIntroducing Potential Key Proteins and Pathways in Human Laryngeal Cancer: A System Biology Approach
The most common malignant neoplasm of the head and neck region is laryngeal cancerwhich presents a significant international health problem. The present study aims to screenpotential proteins related to laryngeal cancer by network analysis to further understandingdisease pathogenesis and biomarker discovery. Differentially expressed proteins were extractedfrom literatures of laryngeal cancer th...
متن کاملExploring relation types for literature-based discovery
OBJECTIVE Literature-based discovery (LBD) aims to identify "hidden knowledge" in the medical literature by: (1) analyzing documents to identify pairs of explicitly related concepts (terms), then (2) hypothesizing novel relations between pairs of unrelated concepts that are implicitly related via a shared concept to which both are explicitly related. Many LBD approaches use simple techniques to...
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We propose using semantic predications to enhance literature-based discovery (LBD) systems, which currently depend exclusively on co-occurrence of words or concepts in target documents. In this paper, the predications, which are produced by the combined application of two natural language processing systems, BioMedLEE and SemRep, are coupled with an LBD system BITOLA. Initial experiments sugges...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2018
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bty845