{"id":"https://openalex.org/W2943834108","doi":"https://doi.org/10.1109/access.2019.2915519","title":"Dimensionality Reduction in Gene Expression Data Sets","display_name":"Dimensionality Reduction in Gene Expression Data Sets","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2943834108","doi":"https://doi.org/10.1109/access.2019.2915519","mag":"2943834108"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2915519","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915519","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08709740.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08709740.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005206699","display_name":"Jovani Taveira de Souza","orcid":"https://orcid.org/0000-0001-8545-8149"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jovani Taveira De Souza","raw_affiliation_strings":["Department of Production Engineering, Federal University of Technology, Paran\u00e1, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-8545-8149","affiliations":[{"raw_affiliation_string":"Department of Production Engineering, Federal University of Technology, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034247820","display_name":"Ant\u00f4nio Carlos de Francisco","orcid":"https://orcid.org/0000-0003-0401-4445"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Antonio Carlos De Francisco","raw_affiliation_strings":["Department of Production Engineering, Federal University of Technology, Paran\u00e1, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-0401-4445","affiliations":[{"raw_affiliation_string":"Department of Production Engineering, Federal University of Technology, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000113291","display_name":"Dayana Carla de Macedo","orcid":"https://orcid.org/0000-0002-4371-8501"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dayana Carla De Macedo","raw_affiliation_strings":["Department of Administration, Midwest University of Paran\u00e1, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Administration, Midwest University of Paran\u00e1, Paran\u00e1, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2429,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.79178715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"61136","last_page":"61144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9958999752998352,"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":0.9951000213623047,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7874524593353271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7076418995857239},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6494331359863281},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6368801593780518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5659039616584778},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5635440349578857},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47984644770622253},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47742781043052673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47218480706214905},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.4669288992881775},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4494749903678894},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43638700246810913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40185216069221497},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.3220394253730774},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.13463154435157776},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.12248280644416809}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7874524593353271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7076418995857239},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6494331359863281},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6368801593780518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659039616584778},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5635440349578857},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47984644770622253},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47742781043052673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47218480706214905},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.4669288992881775},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4494749903678894},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43638700246810913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40185216069221497},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.3220394253730774},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.13463154435157776},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.12248280644416809},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2915519","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915519","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08709740.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1ab0c5e1f9c94122a20a1587576c601a","is_oa":true,"landing_page_url":"https://doaj.org/article/1ab0c5e1f9c94122a20a1587576c601a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 61136-61144 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2915519","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915519","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08709740.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322772","display_name":"Funda\u00e7\u00e3o Arauc\u00e1ria","ror":"https://ror.org/02r7nkw81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943834108.pdf","grobid_xml":"https://content.openalex.org/works/W2943834108.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W226699106","https://openalex.org/W254399443","https://openalex.org/W1493357981","https://openalex.org/W1570448133","https://openalex.org/W1595720718","https://openalex.org/W1661871015","https://openalex.org/W1989750677","https://openalex.org/W2000771269","https://openalex.org/W2006260073","https://openalex.org/W2015933146","https://openalex.org/W2051895207","https://openalex.org/W2056705013","https://openalex.org/W2062830115","https://openalex.org/W2067085644","https://openalex.org/W2076610093","https://openalex.org/W2097413644","https://openalex.org/W2109676405","https://openalex.org/W2132982517","https://openalex.org/W2136540712","https://openalex.org/W2154192136","https://openalex.org/W2155461860","https://openalex.org/W2160011548","https://openalex.org/W2177443438","https://openalex.org/W2338143533","https://openalex.org/W2466942361","https://openalex.org/W2491189118","https://openalex.org/W2511039977","https://openalex.org/W2511481201","https://openalex.org/W2549481570","https://openalex.org/W2552933951","https://openalex.org/W2583638573","https://openalex.org/W2588460665","https://openalex.org/W2591292252","https://openalex.org/W2781880753","https://openalex.org/W2782322866","https://openalex.org/W2789438342","https://openalex.org/W2792199558","https://openalex.org/W2794866761","https://openalex.org/W2890838230","https://openalex.org/W2898001300","https://openalex.org/W2963437321","https://openalex.org/W3099514962","https://openalex.org/W4250857377","https://openalex.org/W6635494303","https://openalex.org/W6636914306","https://openalex.org/W6679926036","https://openalex.org/W6682707501"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Dimensionality":[0],"reduction":[1,49,64],"is":[2],"used":[3],"in":[4,39,68,108,138,157],"microarray":[5],"data":[6,61,140,166],"analysis":[7,159],"to":[8,34,57,95,98,116],"enhance":[9],"prediction":[10,162],"quality,":[11],"reduce":[12],"computing":[13],"time,":[14],"and":[15,53,72,86,130,132,146,160],"construct":[16],"more":[17],"robust":[18],"models.":[19],"In":[20],"addition,":[21],"the":[22,35,69,139,144,151,158],"algorithm":[23],"learning":[24],"performance":[25,137],"involves":[26],"an":[27],"expressive":[28],"number":[29],"of":[30,47,81,163],"attributes":[31],"(genes)":[32],"relative":[33],"classes":[36],"(samples).":[37],"Therefore,":[38],"this":[40],"paper,":[41],"we":[42,77,93],"conducted":[43],"a":[44,79,105],"detailed":[45],"comparison":[46],"two":[48],"methods,":[50,114],"attribute":[51,123,152],"selection":[52,124,153],"principal":[54],"component":[55],"analysis,":[56],"analyze":[58],"gene":[59,164],"expression":[60,165],"sets.":[62,141,167],"Both":[63],"methods":[65],"were":[66],"employed":[67],"pre-processing":[70],"stage":[71],"then":[73],"evaluated":[74],"experimentally.":[75],"Furthermore,":[76],"introduced":[78],"combination":[80],"consistency-based":[82],"subset":[83],"evaluation":[84],"(CSE)":[85],"minimum":[87],"redundancy":[88],"maximum":[89],"relevance":[90],"(mRMR),":[91],"which":[92],"referred":[94],"as":[96],"CSE-mRMR,":[97],"improve":[99],"classification":[100,136],"efficiency.":[101],"The":[102],"results":[103,148],"indicated":[104],"significant":[106],"increase":[107],"classifier":[109],"hit":[110],"rates":[111],"with":[112],"both":[113],"compared":[115],"using":[117],"all":[118],"attributes.":[119],"By":[120],"employing":[121],"cross-validation,":[122],"outperformed":[125],"PCA":[126],"consistently":[127],"across":[128],"classifiers":[129],"datasets,":[131],"CSE-mRMR":[133],"demonstrated":[134],"good":[135],"Taken":[142],"together,":[143],"literature":[145],"current":[147],"suggest":[149],"that":[150],"may":[154],"be":[155],"relevant":[156],"future":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}