{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T20:06:36Z","timestamp":1758398796103},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2008,5,27]],"date-time":"2008-05-27T00:00:00Z","timestamp":1211846400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2009,2]]},"DOI":"10.1007\/s00500-008-0321-0","type":"journal-article","created":{"date-parts":[[2008,5,26]],"date-time":"2008-05-26T12:13:20Z","timestamp":1211804000000},"page":"259-272","source":"Crossref","is-referenced-by-count":23,"title":["Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation"],"prefix":"10.1007","volume":"13","author":[{"given":"Nicholas","family":"Holden","sequence":"first","affiliation":[]},{"given":"Alex A.","family":"Freitas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,5,27]]},"reference":[{"key":"321_CR1","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/0893-6080(94)90046-9","volume":"7","author":"R Battiti","year":"1994","unstructured":"Battiti R, Colla AM (1994) Democracy in neural nets: voting schemes for accuracy. Neural Netw 7: 691\u2013707","journal-title":"Neural Netw"},{"issue":"Web Server issu","key":"321_CR2","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1093\/nar\/gkh416","volume":"32","author":"M Bhasin","year":"2004","unstructured":"Bhasin M, Raghava GP (2004) GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors. Nucleic Acids Res. 1 32(Web Server issue): 383\u20139","journal-title":"Nucleic Acids Res. 1"},{"key":"321_CR3","doi-asserted-by":"crossref","unstructured":"Blockeel H, Schietgat L, Struyf J, Dzeroski S, Clare A (2006) Decision trees for hierarchical multilabel classification: a case study in functional genomics. In: Proceedings of PKDD 2006","DOI":"10.1007\/11871637_7"},{"key":"321_CR4","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman L (1996) Bagging predictors. Mach Learn 24: 123\u2013140","journal-title":"Mach Learn"},{"issue":"1","key":"321_CR5","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.inffus.2004.04.004","volume":"6","author":"G Brown","year":"2005","unstructured":"Brown G, Wyatt J, Harris R, Yao X (2005) Diversity creation methods: a survey and categorisation. Inf Fusion 6(1): 5\u201320","journal-title":"Inf Fusion"},{"key":"321_CR6","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1186\/1471-2105-7-298","volume":"7","author":"A Bulashevska","year":"2006","unstructured":"Bulashevska A, Eils R (2006) Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains. BMC Bioinformatics 7: 298","journal-title":"BMC Bioinformatics"},{"key":"321_CR7","unstructured":"Clare A (2003) Machine learning and data mining for yeast functional genomics. PhD Thesis, University of Wales Aberystwyth"},{"key":"321_CR8","doi-asserted-by":"crossref","unstructured":"Clerc M, Kennedy J (2002) The particle swarm-explosion, stability and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6(1)","DOI":"10.1109\/4235.985692"},{"key":"321_CR9","doi-asserted-by":"crossref","unstructured":"Derbeko P, El-Yaniv R, Meir R (2002) Variance Optimized Bagging. In: Proceedings of 13th European conference on machine learning, pp 60\u201371","DOI":"10.1007\/3-540-36755-1_6"},{"issue":"4","key":"321_CR10","first-page":"97","volume":"18","author":"TG Dietterich","year":"1997","unstructured":"Dietterich TG (1997) Machine learning research: four current directions. AI Magaz 18(4): 97\u2013136","journal-title":"AI Magaz"},{"key":"321_CR11","doi-asserted-by":"crossref","unstructured":"Eisner R, Poulin B, Szafron D, Lu P, Greiner R (2005) Improving protein function prediction using the hierarchical structure of the gene ontology. In: Proceedings of 2005 IEEE symposium on computational intelligence in bioinformatics and computational biology","DOI":"10.1109\/CIBCB.2005.1594940"},{"key":"321_CR12","unstructured":"Fayyad UM, Piatetsky-Shapiro G, Smyth P (1996) From data mining to knowledge discovery: an overview, Advances in Knowledge Discovery and Data Mining. AAAI\/MIT, Menlo Park, pp 1\u201334"},{"issue":"7","key":"321_CR13","first-page":"24","volume":"11","author":"D Fillmore","year":"2004","unstructured":"Fillmore D (2004) It\u2019s a GPCR world. Modern Drug Discovery 11(7): 24\u201328","journal-title":"Modern Drug Discovery"},{"key":"321_CR14","doi-asserted-by":"crossref","first-page":"25","DOI":"10.5565\/rev\/elcvia.67","volume":"1","author":"S Guenter","year":"2004","unstructured":"Guenter S, Bunke H (2004) Optimization of weights in a multiple classifier handwritten word recognition system using a genetic algorithm. ELCVIA(3) 1: 25\u201344","journal-title":"ELCVIA(3)"},{"issue":"4","key":"321_CR15","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s00726-006-0332-z","volume":"30","author":"YZ Guo","year":"2006","unstructured":"Guo YZ, Li ML, Wang KL, Wen ZN, Lu MC, Liu LX, Jiang L (2006) Classifying G protein-coupled receptors and nuclear receptors on the basis of protein power spectrum from fast Fourier transform. Amino Acids 30(4): 397\u2013402","journal-title":"Amino Acids"},{"key":"321_CR16","doi-asserted-by":"crossref","unstructured":"G\u00fcnter S, Bunke H (2004) Evaluation of classical and novel ensemble methods for handwritten word recognition. In: Proceedings of 10th international workshop on structural and syntactic pattern recognition (SSPR), pp 583\u2013591","DOI":"10.1007\/978-3-540-27868-9_63"},{"key":"321_CR17","volume-title":"Construction and assessment of classification rules","author":"DJ Hand","year":"1997","unstructured":"Hand DJ (1997) Construction and assessment of classification rules. Wiley, New York"},{"key":"321_CR18","unstructured":"Holden N, Freitas AA (2006) Hierarchical classification of G-protein-coupled receptors with a PSO\/ACO algorithm. In: Proceedings of IEEE swarm intelligence symposium (SIS-06). IEEE Press, New York, pp 77\u201384"},{"issue":"4","key":"321_CR19","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.compbiolchem.2004.08.001","volume":"28","author":"Y Huang","year":"2004","unstructured":"Huang Y, Cai J, Ji L, Li Y (2004) Classifying G-protein coupled receptors with bagging classification tree. Comput Biol Chem 28(4): 275\u2013280","journal-title":"Comput Biol Chem"},{"issue":"Database issue","key":"321_CR20","doi-asserted-by":"crossref","first-page":"D134","DOI":"10.1093\/nar\/gkh044","volume":"32","author":"N Hulo","year":"2004","unstructured":"Hulo N, Sigrist CJA, Le Saux V, Langendijk-Genevaux PS, Bordoli L, Gattiker A, De Castro E, Bucher P, Bairoch A (2004) Recent improvements to the PROSITE database. Nucleic Acids Res 32(Database issue): D134\u2013D137","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"321_CR21","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1093\/bioinformatics\/18.1.147","volume":"18","author":"R Karchin","year":"2002","unstructured":"Karchin R, Karplus K, Haussler D (2002) Classifying G-protein coupled receptors with support vector machines. Bioinformatics 18(1): 147\u201359","journal-title":"Bioinformatics"},{"key":"321_CR22","doi-asserted-by":"crossref","unstructured":"Kennedy J, Spears W (1998) Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator. In: IEEE international conference on evolutionary computation, May","DOI":"10.1109\/ICEC.1998.699326"},{"key":"321_CR23","volume-title":"Swarm intelligence","author":"J Kennedy","year":"2001","unstructured":"Kennedy J, Eberhart RC, Shi Y (2001) Swarm intelligence. Morgan Kaufmann\/Academic Press, San Francisco\/New York"},{"key":"321_CR24","unstructured":"McDowall J (2005) InterPro: Exploring a Powerful Protein Diagnostic Tool, ECCB05, Tutorial, pp 14"},{"key":"321_CR25","doi-asserted-by":"crossref","unstructured":"Mouser CR, Dunn SA (2004) Comparing genetic algorithms and particle swarm optimisation for an inverse problem exercise. In: Computational techniques and applications conference (CTAC-2004), September","DOI":"10.21914\/anziamj.v46i0.949"},{"issue":"5\u20136","key":"321_CR26","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1080\/10629360310001623999","volume":"14","author":"PK Papasaikas","year":"2003","unstructured":"Papasaikas PK, Bagos PG, Litou ZI, Hamodrakas SJ (2003) A novel method for GPCR recognition and family classification from sequence alone using signatures derived from profile hidden Markov models. SAR QSAR Environ Res 14(5\u20136): 413\u2013420","journal-title":"SAR QSAR Environ Res"},{"key":"321_CR27","unstructured":"Ranawana R, Palade V (2005) MVGen\u2014Ensemble learning for mcs majority voting with a genetic algorithm, internal report. Oxford University Computing Laboratory"},{"key":"321_CR28","unstructured":"Skalak DB (1997) Prototype selection for composite nearest neighbour classifiers. PhD Thesis, University of Massachusetts, Amherst"},{"key":"321_CR29","unstructured":"Stefano CD, Cioppa AD, Marcelli A (2003) Exploiting reliability for dynamic selection of classifiers by means of genetic algorithms. In: Proceedings of 7th Internatioanl conference on document analysis and recognition, vol 2, ICDAR. IEEE Computer Society, Washington, DC, pp 671"},{"key":"321_CR30","unstructured":"Sun A, Lim E-P (2001) Hierarchical text classification and evaluation. In: Proceedings of 2001 IEEE international conference on data mining, pp 521\u2013528"},{"issue":"10","key":"321_CR31","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1109\/TKDE.2004.50","volume":"16","author":"A Sun","year":"2004","unstructured":"Sun A, Lim E-P, Ng WK, Srivastava J (2004) Blocking reduction strategies in hierarchical text classification. IEEE Trans Knowl Data Eng 16(10): 1305\u20131308","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"321_CR32","unstructured":"Peng T, Zuo W, He F (2006) Text Classification from Positive and Unlabeled Documents Based on GA, vecpar 06(7)"},{"key":"321_CR33","first-page":"206","volume":"14","author":"A Tan","year":"2003","unstructured":"Tan A, Gilbert D, Deville Y (2003) Multi-class protein fold classification using a new ensemble machine learning approach. Genome Inf 14: 206\u2013217","journal-title":"Genome Inf"},{"key":"321_CR34","volume-title":"Introduction to data mining","author":"P-N Tan","year":"2006","unstructured":"Tan P-N, Steinbach M, Kumar V (2006) Introduction to data mining. Addison-Wesley, Reading"},{"key":"321_CR35","volume-title":"Data mining: practical machine learning tools and techniques","author":"IH Witten","year":"2005","unstructured":"Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco","edition":"2"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-008-0321-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-008-0321-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-008-0321-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T01:39:54Z","timestamp":1559093994000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-008-0321-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,5,27]]},"references-count":35,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2009,2]]}},"alternative-id":["321"],"URL":"https:\/\/doi.org\/10.1007\/s00500-008-0321-0","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,5,27]]}}}