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of computational intelligence techniques in protein function prediction","volume":"2014","author":"AK Tiwari","year":"2014","journal-title":"Int J Proteomics"},{"key":"ref53","unstructured":"Rosenstein MT, Marx Z, Kaelbling LP, Dietterich TG. Transfer or Not To Transfer. In: NIPS-05 Workshop on Inductive Transfer: 10 Years Later; 2005."},{"issue":"Database issue","key":"ref54","doi-asserted-by":"crossref","first-page":"D447","DOI":"10.1093\/nar\/gku1003","article-title":"STRING v10: protein-protein interaction networks, integrated over the tree of life","volume":"43","author":"D Szklarczyk","year":"2015","journal-title":"Nucleic Acids Res"},{"issue":"10","key":"ref55","doi-asserted-by":"crossref","first-page":"R80","DOI":"10.1186\/gb-2004-5-10-r80","article-title":"Bioconductor: open software development for computational biology and bioinformatics","volume":"5","author":"RC Gentleman","year":"2004","journal-title":"Genome Biol"},{"issue":"9","key":"ref56","doi-asserted-by":"crossref","first-page":"1322","DOI":"10.1093\/bioinformatics\/btu013","article-title":"Mass-spectrometry based spatial proteomics data analysis using pRoloc and pRolocdata","volume":"30","author":"L Gatto","year":"2104","journal-title":"Bioinformatics"},{"issue":"12","key":"ref57","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.1038\/nbt1210-1248","article-title":"Towards a knowledge-based Human Protein Atlas","volume":"28","author":"M Uhlen","year":"2010","journal-title":"Nat Biotechnol"},{"issue":"Web Server issue","key":"ref58","doi-asserted-by":"crossref","first-page":"W497","DOI":"10.1093\/nar\/gkq477","article-title":"YLoc\u2013an interpretable web server for predicting subcellular localization","volume":"38","author":"S Briesemeister","year":"2010","journal-title":"Nucleic Acids Res"},{"issue":"9","key":"ref59","doi-asserted-by":"crossref","first-page":"1232","DOI":"10.1093\/bioinformatics\/btq115","article-title":"Going from where to why\u2013interpretable prediction of protein subcellular localization","volume":"26","author":"S Briesemeister","year":"2010","journal-title":"Bioinformatics"},{"key":"ref60","unstructured":"Gatto L. hpar: Human Protein Atlas in R. <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/www.bioconductor.org\/packages\/release\/bioc\/html\/hpar.html\" xlink:type=\"simple\">http:\/\/www.bioconductor.org\/packages\/release\/bioc\/html\/hpar.html<\/ext-link>;. 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R package version 0.11.1. Available from: <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/CRAN.R-project.org\/package=shiny\" xlink:type=\"simple\">http:\/\/CRAN.R-project.org\/package=shiny<\/ext-link>."},{"key":"ref70","unstructured":"Hall MA. Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. In: Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29\u2013July 2, 2000; 2000. p. 359\u2013366."},{"issue":"Database issue","key":"ref71","doi-asserted-by":"crossref","first-page":"D161","DOI":"10.1093\/nar\/gkp885","article-title":"PROSITE, a protein domain database for functional characterization and annotation","volume":"38","author":"CJA Sigrist","year":"2010","journal-title":"Nucleic Acids Res"},{"key":"ref72","first-page":"135","article-title":"Advances in Large Margin Classifiers","author":"OL Mangasarian","year":"2000"},{"key":"ref73","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809682","article-title":"Kernel Methods for Pattern Analysis","author":"J Shawe-Taylor","year":"2004"},{"key":"ref74","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1098\/rsta.1909.0016","article-title":"Functions of positive and negative type and their connection with the theory of integral equations","volume":"209","author":"J Mercer","year":"1909","journal-title":"Philosophical Transactions of the Royal Society A"},{"key":"ref75","unstructured":"Wu W, Xu J, Li H, Oyama S. Asymmetric Kernel Learning. Microsoft Research; 2010. MSR-TR-2010-85."},{"issue":"16","key":"ref76","doi-asserted-by":"crossref","first-page":"2626","DOI":"10.1093\/bioinformatics\/bth294","article-title":"A statistical framework for genomic data fusion","volume":"20","author":"GRG Lanckriet","year":"2004","journal-title":"Bioinformatics"},{"key":"ref77","first-page":"2211","article-title":"Multiple kernel learning algorithms","volume":"12","author":"M G\u00f6nen","year":"2011","journal-title":"Journal of Machine Learning Research"},{"issue":"3","key":"ref78","doi-asserted-by":"crossref","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM: A Library for Support Vector Machines","volume":"2","author":"CC Chang","year":"2001","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"key":"ref79","doi-asserted-by":"crossref","unstructured":"Knerr S, Personnaz L, Dreyfus G. Single-layer learning revisited: a stepwise procedure for building and training a neural network. Neurocomputing: Algorithms, Architectures and Applications. 1990;.","DOI":"10.1007\/978-3-642-76153-9_5"},{"key":"ref80","unstructured":"Morik K, Brockhausen P, Joachims T. Combining statistical learning with a knowledge-based approach\u2014a case study in intensive care monitoring. In: Proceedings of the International Conference on Machine Learning (ICML); 1999. p. 268\u2013277."},{"key":"ref81","first-page":"61","article-title":"Advances in Large Margin Classifiers","author":"JC Platt","year":"2000"},{"key":"ref82","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s10994-007-5018-6","article-title":"A note on Platt\u2019s probabilistic outputs for support vector machines","volume":"68","author":"HT Lin","year":"2007","journal-title":"Machine Learning"},{"issue":"9","key":"ref83","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1109\/TKDE.2008.239","article-title":"Learning from imbalanced data","volume":"21","author":"H He","year":"2009","journal-title":"IEEE Transactions on Knowledge and Data Engineering"}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pcbi.1004920","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,7]],"date-time":"2019-09-07T12:50:35Z","timestamp":1567860635000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1004920"}},"subtitle":[],"editor":[{"given":"Thomas","family":"Dandekar","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2016,5,13]]},"references-count":83,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2016,5,13]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1004920","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/022152","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,5,13]]}}}