{"id":"https://openalex.org/W4306731729","doi":"https://doi.org/10.1109/tcbb.2022.3215129","title":"A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics","display_name":"A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4306731729","doi":"https://doi.org/10.1109/tcbb.2022.3215129","pmid":"https://pubmed.ncbi.nlm.nih.gov/36251903"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2022.3215129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2022.3215129","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5062832787","display_name":"Yan Kang","orcid":"https://orcid.org/0000-0001-6969-0562"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Kang","raw_affiliation_strings":["National Pilot School of Software, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-6969-0562","affiliations":[{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664241","display_name":"Haining Wang","orcid":"https://orcid.org/0000-0002-9665-7511"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haining Wang","raw_affiliation_strings":["National Pilot School of Software, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022349009","display_name":"Bin Pu","orcid":"https://orcid.org/0000-0002-4959-8432"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Pu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4959-8432","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338134","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0003-1873-5462"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Tao","raw_affiliation_strings":["National Pilot School of Software, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435599","display_name":"Jianguo Chen","orcid":"https://orcid.org/0000-0001-5009-578X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Chen","raw_affiliation_strings":["School of Software Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","Institute for Data Science, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3491-5968","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Institute for Data Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7168,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95474917,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"3","first_page":"1746","last_page":"1760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9979000091552734,"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9941999912261963,"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":0.6740753650665283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5745073556900024},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5701522827148438},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5634304881095886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.525166928768158},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.47848695516586304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.455394446849823},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43016162514686584},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.4297513961791992}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740753650665283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5745073556900024},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5701522827148438},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5634304881095886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.525166928768158},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.47848695516586304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.455394446849823},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43016162514686584},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.4297513961791992},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2022.3215129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2022.3215129","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:36251903","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36251903","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1226679922","display_name":"\u57fa\u4e8e\u8fc1\u79fb\u5b66\u4e60\u7684\u52a8\u6001\u591a\u76ee\u6807\u9700\u6c42\u4f18\u9009\u7814\u7a76","funder_award_id":"61762092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W634254284","https://openalex.org/W1418108976","https://openalex.org/W1964042173","https://openalex.org/W1989352541","https://openalex.org/W2013885787","https://openalex.org/W2027902860","https://openalex.org/W2033641377","https://openalex.org/W2038969653","https://openalex.org/W2039044448","https://openalex.org/W2046357518","https://openalex.org/W2083945868","https://openalex.org/W2096166399","https://openalex.org/W2117004913","https://openalex.org/W2119387367","https://openalex.org/W2162162988","https://openalex.org/W2162745921","https://openalex.org/W2255548690","https://openalex.org/W2261066338","https://openalex.org/W2296662953","https://openalex.org/W2343072385","https://openalex.org/W2343420905","https://openalex.org/W2517850251","https://openalex.org/W2538642367","https://openalex.org/W2606853036","https://openalex.org/W2612473079","https://openalex.org/W2738900493","https://openalex.org/W2792689221","https://openalex.org/W2889803518","https://openalex.org/W2894349568","https://openalex.org/W2897301007","https://openalex.org/W2919979744","https://openalex.org/W2921140350","https://openalex.org/W2925326750","https://openalex.org/W2958456210","https://openalex.org/W2965837582","https://openalex.org/W2991234881","https://openalex.org/W2997585558","https://openalex.org/W3001998614","https://openalex.org/W3017381157","https://openalex.org/W3040370018","https://openalex.org/W3041216514","https://openalex.org/W3048412361","https://openalex.org/W3115407590","https://openalex.org/W3137665052","https://openalex.org/W3140120701","https://openalex.org/W3199733685","https://openalex.org/W6635383313","https://openalex.org/W6636914306"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1977906818","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W2032776242"],"abstract_inverted_index":{"The":[0,175],"\"curse":[1],"of":[2,33,78,104,145],"dimensionality\"":[3],"brings":[4],"new":[5],"challenges":[6],"to":[7,29,52,82,95,99,114,126,140,196],"the":[8,31,38,55,59,64,67,76,79,84,102,105,116,122,127,142,180,197],"feature":[9,186],"selection":[10,39],"(FS)":[11],"problem,":[12],"especially":[13],"in":[14],"bioinformatics":[15,34,163],"filed.":[16],"In":[17,37,58,87],"this":[18],"paper,":[19],"we":[20,132],"propose":[21],"a":[22,110,134,184],"hybrid":[23],"Two-Stage":[24],"Teaching-Learning-Based":[25],"Optimization":[26],"(TS-TLBO)":[27],"algorithm":[28,169,182],"improve":[30,101,115],"performance":[32,118],"data":[35,155,159],"classification.":[36],"reduction":[40],"stage,":[41,63],"potentially":[42],"informative":[43],"features,":[44,49],"as":[45,47],"well":[46],"noisy":[48],"are":[50],"selected":[51],"effectively":[53],"reduce":[54],"search":[56,117],"space.":[57],"following":[60],"comparative":[61,150],"self-learning":[62,71],"teacher":[65],"and":[66,165,192],"worst":[68],"student":[69],"with":[70,138,157,171,188],"evolve":[72],"together":[73],"based":[74],"on":[75,152],"duality":[77],"FS":[80,198],"problems":[81],"enhance":[83],"exploitation":[85],"capabilities.":[86],"addition,":[88],"an":[89],"opposition-based":[90],"learning":[91],"strategy":[92],"is":[93],"utilized":[94],"generate":[96],"initial":[97],"solutions":[98],"rapidly":[100],"quality":[103],"solutions.":[106],"We":[107,148],"further":[108],"develop":[109],"self-adaptive":[111],"mutation":[112,123],"mechanism":[113],"by":[119],"dynamically":[120],"adjusting":[121],"rate":[124],"according":[125],"teacher's":[128],"convergence":[129],"ability.":[130],"Moreover,":[131],"integrate":[133],"differential":[135],"evolutionary":[136],"method":[137],"TLBO":[139],"boost":[141],"exploration":[143],"ability":[144],"our":[146,167],"algorithm.":[147],"conduct":[149],"experiments":[151],"31":[153],"public":[154],"sets":[156],"different":[158],"dimensions,":[160],"including":[161],"7":[162],"datasets,":[164],"evaluate":[166],"TS-TLBO":[168,181],"compared":[170],"11":[172],"related":[173],"methods.":[174],"experimental":[176],"results":[177],"show":[178],"that":[179],"obtains":[183],"good":[185],"subset":[187],"better":[189],"classification":[190],"performance,":[191],"indicates":[193],"its":[194],"generality":[195],"problems.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
