{"id":"https://openalex.org/W2990368948","doi":"https://doi.org/10.1109/smc.2019.8914587","title":"Feature selection with genetic algorithm for protein function prediction","display_name":"Feature selection with genetic algorithm for protein function prediction","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990368948","doi":"https://doi.org/10.1109/smc.2019.8914587","mag":"2990368948"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8914587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001567250","display_name":"Bruno Santos","orcid":"https://orcid.org/0000-0002-6388-1082"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno C. Santos","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032133335","display_name":"Marcos W. Rodrigues","orcid":"https://orcid.org/0000-0002-5329-3367"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos W. Rodrigues","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029039638","display_name":"Linu Pinto","orcid":"https://orcid.org/0000-0002-2869-1443"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L. N. Cristiano Pinto","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048437524","display_name":"Cristiane Neri Nobre","orcid":"https://orcid.org/0000-0001-8517-9852"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cristiane N. Nobre","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056686523","display_name":"Luis E. Z\u00e1rate","orcid":"https://orcid.org/0000-0001-7063-1658"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luis E. Zarate","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais","institution_ids":["https://openalex.org/I170935008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170935008"],"apc_list":null,"apc_paid":null,"fwci":0.8367,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78680447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"2011","issue":null,"first_page":"2434","last_page":"2439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7419697046279907},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6832351684570312},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6539561152458191},{"id":"https://openalex.org/keywords/protein-function-prediction","display_name":"Protein function prediction","score":0.6410489082336426},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6318529844284058},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6206451654434204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6089944839477539},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6064226627349854},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.59213787317276},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4801294505596161},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41997942328453064},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41576194763183594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3800448477268219},{"id":"https://openalex.org/keywords/protein-function","display_name":"Protein function","score":0.3669654130935669}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419697046279907},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6832351684570312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6539561152458191},{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.6410489082336426},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6318529844284058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6206451654434204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6089944839477539},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6064226627349854},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.59213787317276},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4801294505596161},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41997942328453064},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41576194763183594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3800448477268219},{"id":"https://openalex.org/C2986374874","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Protein function","level":3,"score":0.3669654130935669},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8914587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1930624869","https://openalex.org/W2017514767","https://openalex.org/W2070695637","https://openalex.org/W2092750499","https://openalex.org/W2104863267","https://openalex.org/W2109943925","https://openalex.org/W2111993512","https://openalex.org/W2126105956","https://openalex.org/W2130253098","https://openalex.org/W2147169507","https://openalex.org/W2494437268","https://openalex.org/W2896761810","https://openalex.org/W2911964244","https://openalex.org/W2977491166","https://openalex.org/W4230040612","https://openalex.org/W4239403073","https://openalex.org/W4244238212","https://openalex.org/W6640462745"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2889302474","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W1986279376","https://openalex.org/W2094822546","https://openalex.org/W4388708026","https://openalex.org/W1969080446"],"abstract_inverted_index":{"Knowing":[0],"the":[1,50,65,98,103,128,134,139],"function":[2,21,51],"of":[3,52,60,68,73,146],"proteins":[4],"is":[5,23,39],"essential":[6],"in":[7,25,121,127],"several":[8,58,109],"areas":[9],"such":[10,111],"as":[11,82,112],"bioinformatics,":[12],"agriculture,":[13],"and":[14,29,106,119],"others.":[15],"The":[16],"processes":[17],"to":[18,34,41,48,101,123,137],"determine":[19],"protein":[20,69],"that":[22,46,62],"realized":[24],"laboratories":[26],"are":[27,56],"costly":[28],"require":[30],"a":[31,53,76,90,93],"long":[32],"time":[33],"be":[35,138],"done.":[36],"Therefore,":[37],"it":[38],"necessary":[40],"provide":[42],"efficient":[43],"computational":[44],"models":[45],"aim":[47],"find":[49],"protein.":[54],"There":[55],"currently":[57],"kinds":[59],"researches":[61],"deal":[63],"with":[64,97,142],"prediction":[66],"problem":[67],"function.":[70],"However,":[71],"each":[72],"them":[74],"presents":[75],"different":[77,80],"methodology,":[78],"employing":[79],"classifiers":[81,110],"well.":[83],"Based":[84],"on":[85],"this":[86],"problem,":[87],"we":[88],"propose":[89],"methodology":[91,132],"using":[92],"multi-objective":[94],"genetic":[95],"algorithm":[96],"classifier":[99],"k-NN":[100,140],"select":[102],"best":[104,135],"characteristics":[105],"then":[107],"apply":[108],"Artificial":[113],"Neural":[114],"Network,":[115],"SVM,":[116],"Random":[117],"Forest,":[118],"k-NN,":[120],"order":[122],"compare":[124],"their":[125],"performance":[126,136],"same":[129],"methodology.":[130],"Our":[131],"found":[133],"classifier,":[141],"an":[143],"f-Measure":[144],"value":[145],"86.07%.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
