{"id":"https://openalex.org/W1987458475","doi":"https://doi.org/10.1108/17563780910959901","title":"Meta\u2010learning approach to gene expression data classification","display_name":"Meta\u2010learning approach to gene expression data classification","publication_year":2009,"publication_date":"2009-06-05","ids":{"openalex":"https://openalex.org/W1987458475","doi":"https://doi.org/10.1108/17563780910959901","mag":"1987458475"},"language":"en","primary_location":{"id":"doi:10.1108/17563780910959901","is_oa":false,"landing_page_url":"https://doi.org/10.1108/17563780910959901","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"},"type":"article","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/A5058238986","display_name":"Bruno Feres de Souza","orcid":"https://orcid.org/0000-0003-1997-4983"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno Feres de Souza","raw_affiliation_strings":["ICMC, Universidade de S\u00e3o Paulo, S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, Universidade de S\u00e3o Paulo, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058183984","display_name":"Carlos Soares","orcid":"https://orcid.org/0000-0003-4549-8917"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Carlos Soares","raw_affiliation_strings":["LIAAD\u2010INESC Porto LA/Faculdade de Economia, Universidade do Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIAAD\u2010INESC Porto LA/Faculdade de Economia, Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079499583","display_name":"Andr\u00e9 C. P. L. F. de Carvalho","orcid":"https://orcid.org/0000-0002-4765-6459"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 C.P.L.F. de Carvalho","raw_affiliation_strings":["ICMC, Universidade de S\u00e3o Paulo, S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICMC, Universidade de S\u00e3o Paulo, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.54,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.65388962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":"2","first_page":"285","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9905999898910522,"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/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9663000106811523,"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/computer-science","display_name":"Computer science","score":0.8203092813491821},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7444844245910645},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.694736659526825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6535180807113647},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6077163815498352},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5293042659759521},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46651092171669006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43948376178741455},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.42408865690231323},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4202391803264618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0881865918636322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8203092813491821},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7444844245910645},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.694736659526825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6535180807113647},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6077163815498352},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5293042659759521},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46651092171669006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43948376178741455},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.42408865690231323},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4202391803264618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0881865918636322},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/17563780910959901","is_oa":false,"landing_page_url":"https://doi.org/10.1108/17563780910959901","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1551136530","https://openalex.org/W1583774452","https://openalex.org/W1593343777","https://openalex.org/W1608160693","https://openalex.org/W1966701961","https://openalex.org/W2018407943","https://openalex.org/W2022441134","https://openalex.org/W2022892561","https://openalex.org/W2023282380","https://openalex.org/W2050360262","https://openalex.org/W2089322632","https://openalex.org/W2096763239","https://openalex.org/W2097057782","https://openalex.org/W2098740506","https://openalex.org/W2106002880","https://openalex.org/W2109363337","https://openalex.org/W2110298216","https://openalex.org/W2115358726","https://openalex.org/W2118789532","https://openalex.org/W2127314075","https://openalex.org/W2132125330","https://openalex.org/W2135699773","https://openalex.org/W2138550913","https://openalex.org/W2144692687","https://openalex.org/W2163212577","https://openalex.org/W2168117806","https://openalex.org/W2911964244","https://openalex.org/W4252731897"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W3194539120","https://openalex.org/W3200361725","https://openalex.org/W2937631562","https://openalex.org/W3136979370","https://openalex.org/W2101819884","https://openalex.org/W3195168932","https://openalex.org/W1996541855","https://openalex.org/W2979979539","https://openalex.org/W2803710604"],"abstract_inverted_index":{"Purpose":[0],"The":[1,69],"purpose":[2],"of":[3,11,16,33,63,71,115,134,160,182],"this":[4,129],"paper":[5,130,154],"is":[6],"to":[7,13,28,60,144,157,180,199],"investigate":[8],"the":[9,14,72,79,100,104,113,116,125,132,158,168,172,191],"applicability":[10],"meta\u2010learning":[12,80,135,161,175],"problem":[15],"algorithm":[17],"recommendation":[18],"for":[19,46,94,147],"gene":[20,95,148,163],"expression":[21,96,149,164],"data":[22,97,141,150,165],"classification.":[23,151],"Design/methodology/approach":[24],"Meta\u2010learning":[25],"was":[26,119],"used":[27],"provide":[29,138],"a":[30,61,109,183,195],"preference":[31],"order":[32],"machine":[34],"learning":[35],"algorithms,":[36],"based":[37],"on":[38],"their":[39],"expected":[40],"performances.":[41],"Two":[42],"approaches":[43,136],"were":[44,58],"considered":[45],"such:":[47],"k":[48],"\u2010nearest":[49],"neighbors":[50],"and":[51,162],"support":[52],"vector":[53],"machine\u2010based":[54],"ranking":[55,88],"methods.":[56],"They":[57],"applied":[59,179],"set":[62],"49":[64],"publicly":[65],"available":[66],"microarray":[67],"datasets.":[68],"evaluation":[70],"methods":[73,89],"followed":[74],"standard":[75],"procedures":[76],"suggested":[77],"in":[78,112,128],"literature.":[81],"Findings":[82],"Empirical":[83],"evidences":[84],"show":[85],"that":[86,174],"both":[87],"produce":[90],"more":[91,107],"interesting":[92],"suggestions":[93],"classification":[98,203],"than":[99],"baseline":[101],"method.":[102],"Although":[103],"rankings":[105],"are":[106],"accurate,":[108],"significant":[110],"difference":[111],"performances":[114],"top":[117],"classifiers":[118],"not":[120],"observed.":[121],"Practical":[122],"implications":[123],"As":[124],"experiments":[126],"conducted":[127],"suggest,":[131],"use":[133],"can":[137,176],"an":[139],"efficient":[140],"driven":[142],"way":[143],"select":[145],"algorithms":[146],"Originality/value":[152],"This":[153],"reports":[155],"contributions":[156],"areas":[159],"analysis.":[166],"Regarding":[167],"former,":[169],"it":[170,193],"supports":[171],"claim":[173],"be":[177],"suitably":[178],"problems":[181],"specific":[184],"domain,":[185],"expanding":[186],"its":[187],"current":[188],"practice.":[189],"To":[190],"latter,":[192],"introduces":[194],"cost":[196],"effective":[197],"approach":[198],"better":[200],"deal":[201],"with":[202],"tasks.":[204]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}