{"id":"https://openalex.org/W3208477548","doi":"https://doi.org/10.1109/access.2021.3123090","title":"An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data","display_name":"An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3208477548","doi":"https://doi.org/10.1109/access.2021.3123090","mag":"3208477548"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3123090","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123090","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585477.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/ielx7/6287639/6514899/09585477.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112552390","display_name":"Passent El Kafrawy","orcid":null},"institutions":[{"id":"https://openalex.org/I63601056","display_name":"Menoufia University","ror":"https://ror.org/05sjrb944","country_code":"EG","type":"education","lineage":["https://openalex.org/I63601056"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Passent El Kafrawy","raw_affiliation_strings":["Mathematics and Computer Science Department, Faculty of Science, Menoufia University and School of Information Technology and Computer Science, Nile University, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-8557-4286","affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Department, Faculty of Science, Menoufia University and School of Information Technology and Computer Science, Nile University, Egypt","institution_ids":["https://openalex.org/I63601056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109531734","display_name":"Hanaa Fathi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I63601056","display_name":"Menoufia University","ror":"https://ror.org/05sjrb944","country_code":"EG","type":"education","lineage":["https://openalex.org/I63601056"]}],"countries":["EG","FR"],"is_corresponding":false,"raw_author_name":"Hanaa Fathi","raw_affiliation_strings":["Mathematics and Computer Science Department, Faculty of Science, Menoufia University. (e-mail: hanaa_4_ever@yahoo.com)","Mathematics and Computer Science Department, Faculty of Science, Menoufia University"],"raw_orcid":"https://orcid.org/0000-0003-1063-398X","affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Department, Faculty of Science, Menoufia University. (e-mail: hanaa_4_ever@yahoo.com)","institution_ids":["https://openalex.org/I63601056"]},{"raw_affiliation_string":"Mathematics and Computer Science Department, Faculty of Science, Menoufia University","institution_ids":["https://openalex.org/I63601056","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047628048","display_name":"Mohammed Qaraad","orcid":"https://orcid.org/0000-0002-9513-0355"},"institutions":[{"id":"https://openalex.org/I240042149","display_name":"Abdelmalek Essa\u00e2di University","ror":"https://ror.org/03c4shz64","country_code":"MA","type":"education","lineage":["https://openalex.org/I240042149"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed Qaraad","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Abdelmalek Essaadi University, Tetouan, Morocco and Computer Science Department, Faculty of Science, Amran University, Amran, Yemen"],"raw_orcid":"https://orcid.org/0000-0002-9513-0355","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Abdelmalek Essaadi University, Tetouan, Morocco and Computer Science Department, Faculty of Science, Amran University, Amran, Yemen","institution_ids":["https://openalex.org/I240042149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059296664","display_name":"Ayda K. Kelany","orcid":"https://orcid.org/0000-0002-8312-9111"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ayda K. Kelany","raw_affiliation_strings":["Department of Genomic Medicine, Cairo University, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Genomic Medicine, Cairo University, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043421501","display_name":"Xumin Chen","orcid":"https://orcid.org/0000-0001-5147-7595"},"institutions":[{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]},{"id":"https://openalex.org/I2801769982","display_name":"First Affiliated Hospital of Wenzhou Medical University","ror":"https://ror.org/03cyvdv85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801769982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xumin Chen","raw_affiliation_strings":["Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University"],"raw_orcid":"https://orcid.org/0000-0001-5147-7595","affiliations":[{"raw_affiliation_string":"Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University","institution_ids":["https://openalex.org/I27781120","https://openalex.org/I2801769982"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112552390"],"corresponding_institution_ids":["https://openalex.org/I63601056"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.6051,"has_fulltext":true,"cited_by_count":61,"citation_normalized_percentile":{"value":0.91037945,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"155353","last_page":"155369"},"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/T10862","display_name":"AI in cancer detection","score":0.9818000197410583,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9693999886512756,"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/feature-selection","display_name":"Feature selection","score":0.7740246057510376},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7329941987991333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7284812927246094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5443952679634094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5269539952278137},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5007126331329346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45022860169410706},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4353835880756378},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.4260806739330292},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41592878103256226},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4118496775627136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36679285764694214},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09718355536460876},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.06723135709762573},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06635260581970215}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7740246057510376},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7329941987991333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284812927246094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5443952679634094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5269539952278137},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5007126331329346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45022860169410706},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4353835880756378},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.4260806739330292},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41592878103256226},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4118496775627136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36679285764694214},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09718355536460876},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.06723135709762573},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06635260581970215},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3123090","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123090","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585477.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:fc9ce6eb64744b63be5363e9993b5579","is_oa":true,"landing_page_url":"https://doaj.org/article/fc9ce6eb64744b63be5363e9993b5579","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 9, Pp 155353-155369 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3123090","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123090","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585477.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":[{"id":"https://metadata.un.org/sdg/15","score":0.5299999713897705,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2743380718","display_name":null,"funder_award_id":"LQ21H050008","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208477548.pdf","grobid_xml":"https://content.openalex.org/works/W3208477548.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W187383851","https://openalex.org/W1493357981","https://openalex.org/W1586444875","https://openalex.org/W1985871111","https://openalex.org/W2087684630","https://openalex.org/W2088252378","https://openalex.org/W2088851040","https://openalex.org/W2100631457","https://openalex.org/W2109363337","https://openalex.org/W2122683221","https://openalex.org/W2127938920","https://openalex.org/W2131987814","https://openalex.org/W2133000300","https://openalex.org/W2140881839","https://openalex.org/W2141826465","https://openalex.org/W2143426320","https://openalex.org/W2146535457","https://openalex.org/W2159400887","https://openalex.org/W2167689714","https://openalex.org/W2168561598","https://openalex.org/W2169171650","https://openalex.org/W2235523093","https://openalex.org/W2937767865","https://openalex.org/W2942615852","https://openalex.org/W2949607402","https://openalex.org/W2989385256","https://openalex.org/W3000991033","https://openalex.org/W3005468664","https://openalex.org/W3007616454","https://openalex.org/W3082542298","https://openalex.org/W3109522277","https://openalex.org/W3115407590","https://openalex.org/W3125493009","https://openalex.org/W3135383184","https://openalex.org/W3137846178","https://openalex.org/W3152244416","https://openalex.org/W3153877613","https://openalex.org/W3170655365","https://openalex.org/W3174323028","https://openalex.org/W6635042280","https://openalex.org/W6684513754"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"Feature":[0],"selection":[1,30,52],"is":[2,114],"critical":[3],"in":[4,186],"analyzing":[5],"microarray":[6,79,97],"data,":[7],"which":[8],"has":[9],"many":[10],"features":[11],"(genes)":[12],"or":[13],"dimensions.":[14],"However,":[15],"with":[16,88,174],"only":[17],"a":[18,41,47,60],"few":[19],"samples,":[20],"the":[21,71,93,108,141,151,160,164,175],"large":[22],"search":[23],"space":[24],"and":[25,34,66,74,131,147,149,171,181],"time":[26,145],"consumed":[27],"during":[28],"their":[29],"make":[31],"selecting":[32],"relevant":[33,73,178],"informative":[35,75],"genes":[36,76,162],"that":[37,140],"improve":[38],"classification":[39],"performance":[40],"complex":[42],"task.":[43],"This":[44],"paper":[45],"proposed":[46,57,142],"hybrid":[48],"model":[49,58,143],"for":[50,62,99,163],"gene":[51],"known":[53],"as":[54],"(SVM-mRMRe).":[55],"The":[56,110,136],"provides":[59],"framework":[61],"combining":[63],"filter-based,":[64],"ensemble,":[65],"embedded":[67,83],"methods":[68],"to":[69,106],"select":[70],"most":[72,94],"from":[77,156],"high-dimensional":[78],"data":[80],"by":[81,116],"fusing":[82],"SVM":[84],"coefficients":[85],"(features":[86],"ranking)":[87],"ensemble":[89],"mRMRe.":[90],"Eight":[91],"of":[92,102,120,153,177],"commonly":[95],"used":[96,105],"datasets":[98],"various":[100],"types":[101,119],"cancer":[103,154,166],"were":[104],"evaluate":[107],"model.":[109],"selected":[111,161],"subset":[112],"feature":[113],"evaluated":[115],"four":[117],"different":[118],"classifiers:":[121],"random":[122],"forest":[123],"(RF),":[124],"multilayer":[125],"perceptron":[126],"(MLP),":[127],"k-nearest":[128],"neighbors":[129],"(k-NN),":[130],"Support":[132],"Vector":[133],"Machine":[134],"(SVM).":[135],"experimental":[137],"results":[138],"show":[139],"reduces":[144],"consumption":[146],"dimensionality":[148],"improves":[150],"differentiation":[152],"tissues":[155],"benign":[157],"tissues.":[158],"Furthermore,":[159],"brain":[165],"dataset":[167],"are":[168],"biologically":[169],"interpreted,":[170],"it":[172],"agrees":[173],"findings":[176],"biomedical":[179],"studies":[180],"plays":[182],"an":[183],"important":[184],"role":[185],"patient":[187],"prognosis.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}
