{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T03:27:06Z","timestamp":1725766026214},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,7]]},"DOI":"10.1109\/cec.2010.5586011","type":"proceedings-article","created":{"date-parts":[[2010,9,29]],"date-time":"2010-09-29T19:54:29Z","timestamp":1285790069000},"page":"1-7","source":"Crossref","is-referenced-by-count":5,"title":["Gene ontology classification: Building high-level knowledge using genetic algorithms"],"prefix":"10.1109","author":[{"given":"Laurence Rodrigues","family":"do Amaral","sequence":"first","affiliation":[]},{"given":"Estevam Rafael","family":"Hruschka","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Knowledge-based Analysis of Microarray Gene Expression Data By Using Support Vector Machines","year":"1999","author":"brown","key":"ref10"},{"journal-title":"Automated Biological Sequence Description by Genetic Multiobjective Generalized Clustering","year":"2002","author":"zwir","key":"ref11"},{"journal-title":"Genetic Algorithms applied to multi-class prediction for the analysis of gene expression data","year":"2003","author":"ooi","key":"ref12"},{"journal-title":"Classification of Two and Multi-Class Cancer Data Reliably Using Multi-Objective Evolutionary Algorithms","year":"2003","author":"deb","key":"ref13"},{"journal-title":"Genetic Algorithms applied to multi-class prediction for the analysis of gene expression data","year":"2005","author":"liu","key":"ref14"},{"journal-title":"Multi-objective evolutionary biclustering of gene expression data","year":"2006","author":"mitra","key":"ref15"},{"journal-title":"Improving the prediction of the clinical outcome of breast cancer using evolutionary algorithms","year":"2006","author":"wahde","key":"ref16"},{"key":"ref17","article-title":"Oncogenes Classification Measured by Microarray using Genetic Algorithms","author":"amaral","year":"2008","journal-title":"Proceedings of the IASTED International Conference on Artificial Intelligence and Applications"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1109\/CEC.2000.870381","article-title":"Discovery Comprehensible Classification Rules with a Genetic Algorithm","author":"fidelis","year":"2000","journal-title":"Proceedings of the Congress on Evolutionary Computation - (CEC-2000)"},{"journal-title":"An Introduction to Gallops - The Genetic Algorithms Optimized for Portability and Parallelism System","year":"1996","author":"goodman","key":"ref19"},{"journal-title":"Genetic Algorithms in Search Optimization and Machine Learning","year":"1989","author":"goldberg","key":"ref4"},{"journal-title":"Tecnicas de Aprendizado de Maquina para Problemas de Biologia Molecular","year":"2003","author":"de souto","key":"ref3"},{"key":"ref6","article-title":"Motivacao, Fundamentos e Aplicacoes de Algoritmos Geneticos","author":"tanomaru","year":"1995","journal-title":"IV Congresso Brasileiro De Redes Neurais"},{"journal-title":"Genetic Programming On the Programming of Computers by Means of Natural Selection","year":"1992","author":"goldberg","key":"ref5"},{"journal-title":"Classifiction and diagnostic prediction of cancers using gene expression profiling and artificial neural networks","year":"2001","author":"khan","key":"ref8"},{"journal-title":"Artificial Neural Networks and Gene Filtering Distinguish Between Global Gene Expression Profiles of Barret's Esophagus and Esophageal Cancer","year":"2002","author":"xu","key":"ref7"},{"journal-title":"Bioinformatics the Machine Learning Approach","year":"2001","author":"baldi","key":"ref2"},{"journal-title":"Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data Bioinfomratics","year":"2000","author":"furey","key":"ref9"},{"journal-title":"Introduction to Computacional Molecular Biology","year":"1997","author":"setbal","key":"ref1"},{"journal-title":"Gene Ontology tool for the unification of biology","year":"2000","key":"ref20"},{"key":"ref22","article-title":"An evolutionary approach to simulate cognitive feedback learning in medical domain","author":"lopes","year":"1998","journal-title":"Genetic Algorithms and Fuzzy Logic Systems"},{"key":"ref21","article-title":"An evolutionary approach to simulate cognitive feedback learning in medical domain","author":"lopes","year":"2000","journal-title":"Proceedings of the Congress on Evolutionary Computation &#x2013; (CEC-2000)"},{"journal-title":"C4 5 Programs for Machine Learning","year":"1993","author":"quinlan","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ANZIIS.1994.396988"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1142\/9789812702456_0010"},{"journal-title":"Very simple classification rules perform well on most commonly used datasets","year":"1993","author":"holte","key":"ref25"}],"event":{"name":"2010 IEEE Congress on Evolutionary Computation (CEC)","start":{"date-parts":[[2010,7,18]]},"location":"Barcelona, Spain","end":{"date-parts":[[2010,7,23]]}},"container-title":["IEEE Congress on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/5573635\/5585910\/05586011.pdf?arnumber=5586011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,19]],"date-time":"2017-06-19T14:37:18Z","timestamp":1497883038000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5586011\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,7]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/cec.2010.5586011","relation":{},"subject":[],"published":{"date-parts":[[2010,7]]}}}