Lokshin AE / Google / MEDLINE / Creative Commons / BioMed Central Ltd. / Microsoft / /
Country
Jordan / United States / /
Currency
pence / / /
Facility
National Institute of General Medical Sciences Award Number R01GM100387 / University of Pittsburgh / The Institute of Bioinformatics / Garner HR / National Library of Medicine Award Number R01LM010950 / Johns Hopkins University / /
IndustryTerm
annotation server / identification using text mining / biotechnology information / open source tool / text mining approach / text mining / literature mining / natural language processing engine / Online Mendelian Inheritance / manual processing / data mining / literature mining methods / keyword search / semi-automated literature mining method / negative search space / biomedical text mining papers / positive and negative search terms / literature data mining / retrieval applications / online publication / mining / literature search / biomedical text mining / text mining findings / search engine / online submission / web-based cancer gene annotation system / /
MedicalCondition
NOT breast cancer / implicit associated cancer / cancer genomics / JE / validated breast cancer / validated cancer / given disease / i.e. disease / several diseases / average lung cancer / putative disease / breast and lung cancer / melanoma / non-small cell lung cancer / Urine Lung Cancer / experimental Sjogren’s syndrome / breast cancer / recently released breast cancer / lung cancers / human breast tumours / cancers / NOT lung cancer / breast cancers / cancer / disease / validated lung cancer / combined disease / lung cancer / diseases / lung and breast cancer / web-based cancer / terms ‘breast cancer / both cancer / human edited breast cancer / For breast cancer / clinical lung cancer / e.g. breast cancer AND / /
Organization
National Cancer Institute / Institute of Bioinformatics / Bull Med Libr Assoc / Johns Hopkins University / National Institute of General Medical Sciences Award Number R01GM100387 / University of Pittsburgh / Pittsburgh / National Center for Biotechnology Information / Department of Biomedical Informatics / /
Monte Carlo simulation of the Spearman-Kaerber TCID50