{"id":"https://openalex.org/W2897071854","doi":"https://doi.org/10.1109/cec.2018.8477813","title":"Microarray Classification and Gene Selection with FS-NEAT","display_name":"Microarray Classification and Gene Selection with FS-NEAT","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897071854","doi":"https://doi.org/10.1109/cec.2018.8477813","mag":"2897071854"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2018.8477813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","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/A5012548285","display_name":"Bruno Iochins Grisci","orcid":"https://orcid.org/0000-0003-4083-5881"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno Iochins Grisci","raw_affiliation_strings":["Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081162394","display_name":"Bruno C\u00e9sar Feltes","orcid":"https://orcid.org/0000-0002-2825-8295"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno Cesar Feltes","raw_affiliation_strings":["Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026741733","display_name":"M\u00e1rcio Dorn","orcid":"https://orcid.org/0000-0001-8534-3480"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcio Dorn","raw_affiliation_strings":["Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":1.8788,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85556995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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":0.991100013256073,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.6865363121032715},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.6743571758270264},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6169040203094482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5873214602470398},{"id":"https://openalex.org/keywords/microarray","display_name":"Microarray","score":0.5294211506843567},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5129489302635193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5088520050048828},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.4546932578086853},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43896323442459106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40932154655456543},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.33835166692733765},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18328076601028442},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1288907527923584},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.07379242777824402}],"concepts":[{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.6865363121032715},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.6743571758270264},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6169040203094482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5873214602470398},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.5294211506843567},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5129489302635193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5088520050048828},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.4546932578086853},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43896323442459106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40932154655456543},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.33835166692733765},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18328076601028442},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1288907527923584},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.07379242777824402}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2018.8477813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W37714309","https://openalex.org/W1493801922","https://openalex.org/W1520812622","https://openalex.org/W1548779692","https://openalex.org/W1593845303","https://openalex.org/W1680622244","https://openalex.org/W1924004648","https://openalex.org/W1976693834","https://openalex.org/W1981585706","https://openalex.org/W1985958957","https://openalex.org/W1987389010","https://openalex.org/W1988244974","https://openalex.org/W2004915807","https://openalex.org/W2007176121","https://openalex.org/W2018906282","https://openalex.org/W2025554858","https://openalex.org/W2053481403","https://openalex.org/W2055173792","https://openalex.org/W2067878879","https://openalex.org/W2071441967","https://openalex.org/W2080758054","https://openalex.org/W2088337738","https://openalex.org/W2096232175","https://openalex.org/W2099688399","https://openalex.org/W2100701400","https://openalex.org/W2101234009","https://openalex.org/W2111935653","https://openalex.org/W2117195823","https://openalex.org/W2131822674","https://openalex.org/W2131987814","https://openalex.org/W2138218344","https://openalex.org/W2152026370","https://openalex.org/W2154053567","https://openalex.org/W2189101311","https://openalex.org/W2227376894","https://openalex.org/W2317494768","https://openalex.org/W2344681634","https://openalex.org/W2402917710","https://openalex.org/W2414671365","https://openalex.org/W2506743715","https://openalex.org/W2529448842","https://openalex.org/W2531874824","https://openalex.org/W2536987917","https://openalex.org/W2562498401","https://openalex.org/W2563762664","https://openalex.org/W2588242161","https://openalex.org/W2594429093","https://openalex.org/W2596110100","https://openalex.org/W2601673299","https://openalex.org/W2607724003","https://openalex.org/W2725472906","https://openalex.org/W2734473668","https://openalex.org/W2739856014","https://openalex.org/W2745653287","https://openalex.org/W2755150344","https://openalex.org/W2755934398","https://openalex.org/W2759962468","https://openalex.org/W2765581964","https://openalex.org/W2914484425","https://openalex.org/W2962782102","https://openalex.org/W4238404964","https://openalex.org/W6633236318","https://openalex.org/W6637286714","https://openalex.org/W6640222629","https://openalex.org/W6715891306","https://openalex.org/W6737135013","https://openalex.org/W6744723945","https://openalex.org/W6745187019"],"related_works":["https://openalex.org/W2041540252","https://openalex.org/W2796636403","https://openalex.org/W2415545834","https://openalex.org/W1547158732","https://openalex.org/W170658859","https://openalex.org/W1483316219","https://openalex.org/W4310366902","https://openalex.org/W3023720143","https://openalex.org/W2490137852","https://openalex.org/W2107563406"],"abstract_inverted_index":{"The":[0,118],"analysis":[1],"of":[2,54,64,92],"microarrays":[3,27],"has":[4],"the":[5,51,61,90,135],"potential":[6],"to":[7,20,30,41,50,75],"identify":[8],"and":[9,23,60,81,99,116,134],"predict":[10],"diseases":[11],"predisposition,":[12],"such":[13,72],"as":[14,106],"cancer,":[15],"opening":[16],"a":[17,42,107,123],"new":[18],"path":[19],"better":[21],"diagnosis":[22],"improved":[24],"treatments.":[25],"Additionally,":[26],"can":[28,110],"help":[29],"find":[31],"genetic":[32,104],"biomarkers,":[33],"which":[34],"are":[35,39,138],"genes":[36,55,137],"whose":[37],"expressions":[38],"related":[40],"specific":[43],"disease":[44],"stage":[45],"or":[46],"condition.":[47],"But":[48],"due":[49],"huge":[52],"number":[53,63],"present":[56],"in":[57,78],"microarray":[58],"experiments,":[59],"small":[62],"available":[65],"samples,":[66],"computational":[67],"methods":[68],"that":[69,97,109],"deal":[70],"with":[71,122,131],"techniques":[73],"need":[74],"overcome":[76],"difficulties":[77],"both":[79,113],"classification":[80],"feature":[82],"selection":[83],"tasks.":[84],"This":[85],"paper":[86],"presents":[87],"adaptations":[88],"for":[89],"use":[91],"FS-NEAT,":[93],"an":[94],"evolutionary":[95],"algorithm":[96],"creates":[98],"optimizes":[100],"neural":[101],"networks":[102],"through":[103],"algorithms,":[105],"tool":[108],"satisfactorily":[111],"perform":[112],"tasks":[114],"simultaneously":[115],"automatically.":[117],"method":[119],"is":[120],"tested":[121],"Leukemia":[124],"dataset":[125],"containing":[126],"six":[127],"imbalanced":[128],"classes,":[129],"compared":[130],"other":[132],"classifiers,":[133],"selected":[136],"biologically":[139],"validated.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}