Acknowledgement
Supported by : 한국연구재단
References
- PubMed National Center for Biotechnology Information, http://www.ncbi.nlm.nih.gov/pubmed
- Chen L, Liu H and Friedman C, "Gene name ambiguity of eukaryotic nomenclatures", Bioinformatics, 21(2), 248-256, 2005 https://doi.org/10.1093/bioinformatics/bth496
- Wermter L, Tomanek K, Hahn U, "High-performance gene name normalization with GENO", Bioinformatics, 25(6), 815-821, 2009 https://doi.org/10.1093/bioinformatics/btp071
- Leaman R, Dogan Rl, Lu Z, "DNorm: disease name normalization with pairwise learning to rank", Bioinformatics, 29(22), 2909-2917, 2013 https://doi.org/10.1093/bioinformatics/btt474
- Adamic LA, Wilkinson D, Huberman BA and Adar E, "A literature based method for identifying gene-disease connections", IEEE Computer Society Bioinformatics Conference, pp.109-117, 2002
- AI-Mubaid H. and Singh RK, "A new text mining approach for finding protein-to-disease associations", Am J Biochem Biotechnol, 1, 145-152, 2005 https://doi.org/10.3844/ajbbsp.2005.145.152
- Chen JY, "Mining Alzheimer disease relevant proteins from integrated protein interactome data", Pac. Symp. Biocomput, 11, 367-378, 2006
- Ozgur A, Vu T, Erkan G and Radev DR, "Identifying gene-disease associations using centrality on a literature mined gene-interaction network", Bioinformatics, vol. 24, ISMB 2008, pp. i277-i285, 2008 https://doi.org/10.1093/bioinformatics/btn182
- Chen H, Sharp BM, "Content-rich biological network constructed by mining pubmed abstracts", BMC Bioinformatics, 5, 147-159, 2004 https://doi.org/10.1186/1471-2105-5-147
- Goh KI, "The human disease network", Proc. Natl Acad. Sci. USA, 104, 8685-8690, 2007 https://doi.org/10.1073/pnas.0701361104
- Yoon B, Park Y, "A text-mining-based patent network: Analytical tool for high-technology trend", The Journal of High Technology Management Research, 15(1), 37-50, 2004 https://doi.org/10.1016/j.hitech.2003.09.003
- Tseng YH, Lin CJ, Lin YI, "Text mining techniques for patent analysis", Information Processing & Management, 43(5), 1216-1247, 2007 https://doi.org/10.1016/j.ipm.2006.11.011
- comScore, http://www.comscore.com/
- Michael E Anders and Dennis P Evans, "Comparison of PubMed and Google Scholar Literature Searches", RESPIRATORY CARE, vol. 55, no. 5, MAY 2010
- Herman Anthony Carneiro and Eleftherios Mylonakis, "Google Trends: A Web-Based Tool for Real-Time Surveillance of Disease Outbreaks", Clinical Infectious Diseases, vol. 49, no. 10, 2009
- Jeongwoo Kim, Hyunjin Kim, Youngmi Yoon and Sanghyun Park, "LGscore: A method to identify disease-related genes using biological literature and Google data", Journal of Biomedical Informatics, 2015
- Mary Shultz, MS, AHIP, "Comparing test searches in PubMed and Google Scholar", Journal of the Medical Library Association, vol. 95, no. 4, 2007