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dc.contributor.authorWu, C
dc.contributor.authorSchwartz, J
dc.contributor.authorBrabant, Georg E
dc.contributor.authorPeng, S
dc.contributor.authorNenadic, Goran
dc.date.accessioned2016-03-03T14:49:50Zen
dc.date.available2016-03-03T14:49:50Zen
dc.date.issued2015en
dc.identifier.citationConstructing a molecular interaction network for thyroid cancer via large-scale text mining of gene and pathway events. 2015, 9 Suppl 6:S5 BMC Syst Biolen
dc.identifier.issn1752-0509en
dc.identifier.pmid26679379en
dc.identifier.doi10.1186/1752-0509-9-S6-S5en
dc.identifier.urihttp://hdl.handle.net/10541/600563en
dc.description.abstractBiomedical studies need assistance from automated tools and easily accessible data to address the problem of the rapidly accumulating literature. Text-mining tools and curated databases have been developed to address such needs and they can be applied to improve the understanding of molecular pathogenesis of complex diseases like thyroid cancer.
dc.language.isoenen
dc.rightsArchived with thanks to BMC systems biologyen
dc.titleConstructing a molecular interaction network for thyroid cancer via large-scale text mining of gene and pathway events.en
dc.typeArticleen
dc.contributor.departmentSchool of Computer Science, National University of Defense Technology, Changsha 410073, Chinaen
dc.identifier.journalBMC Systems Biologyen
html.description.abstractBiomedical studies need assistance from automated tools and easily accessible data to address the problem of the rapidly accumulating literature. Text-mining tools and curated databases have been developed to address such needs and they can be applied to improve the understanding of molecular pathogenesis of complex diseases like thyroid cancer.


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