{"id":"https://openalex.org/W4383334017","doi":"https://doi.org/10.1109/mi-sta57575.2023.10169443","title":"Classifying Leukemia through DNA Expression Data Mining Techniques","display_name":"Classifying Leukemia through DNA Expression Data Mining Techniques","publication_year":2023,"publication_date":"2023-05-21","ids":{"openalex":"https://openalex.org/W4383334017","doi":"https://doi.org/10.1109/mi-sta57575.2023.10169443"},"language":"en","primary_location":{"id":"doi:10.1109/mi-sta57575.2023.10169443","doi":"https://doi.org/10.1109/mi-sta57575.2023.10169443","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mi-sta57575.2023.10169443","pdf_url":null,"source":{"id":"https://openalex.org/S4363608233","display_name":"IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5004691252","display_name":"Sara Haddou Bouazza","orcid":"https://orcid.org/0000-0002-5592-0168","observed_orcids":["https://orcid.org/0000-0002-5592-0168"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sara Haddou Bouazza","raw_affiliation_strings":["CPGE IBN GHAZI,Physics Department,Marrakech,Morocco","Physics Department, CPGE IBN GHAZI, Marrakech, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CPGE IBN GHAZI,Physics Department,Marrakech,Morocco","institution_ids":[]},{"raw_affiliation_string":"Physics Department, CPGE IBN GHAZI, Marrakech, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011442550","display_name":"Layla Wakrim","orcid":"https://orcid.org/0000-0003-4311-4086","observed_orcids":["https://orcid.org/0000-0003-4311-4086"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Layla Wakrim","raw_affiliation_strings":["ISGA, Marrakech, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISGA, Marrakech, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087067846","display_name":"Lwaa Gafer Benedress","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210154678","display_name":"Libya Open University","ror":"https://ror.org/002a29y03","country_code":"LY","type":"education","lineage":["https://openalex.org/I4210154678"]}],"countries":["LY"],"is_corresponding":false,"raw_author_name":"Lwaa Gafer Benedress","raw_affiliation_strings":["Libya Open University, Benghazi, Libya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Libya Open University, Benghazi, Libya","institution_ids":["https://openalex.org/I4210154678"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1676,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96580827,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"387","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":1.0,"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":1.0,"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/T10183","display_name":"Breast Cancer Treatment Studies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/leukemia-classification","display_name":"leukemia classification","score":0.9760000109672546},{"id":"https://openalex.org/keywords/gene-expression-microarrays","display_name":"gene expression microarrays","score":0.7570000290870667},{"id":"https://openalex.org/keywords/acute-lymphoblastic-leukemia","display_name":"acute lymphoblastic leukemia","score":0.9110000133514404},{"id":"https://openalex.org/keywords/acute-myeloid-leukemia","display_name":"acute myeloid leukemia","score":0.9269999861717224},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.8159999847412109},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9800000190734863},{"id":"https://openalex.org/keywords/binary-classification","display_name":"binary classification","score":0.8009999990463257},{"id":"https://openalex.org/keywords/cancer-gene-expression-data","display_name":"cancer gene expression data","score":0.49399998784065247}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6541358232498169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036388874053955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424637794494629},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5384037494659424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5171858072280884},{"id":"https://openalex.org/C2778461978","wikidata":"https://www.wikidata.org/wiki/Q29496","display_name":"Leukemia","level":2,"score":0.48041486740112305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46545201539993286},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4550940692424774},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.42405349016189575},{"id":"https://openalex.org/C2781071720","wikidata":"https://www.wikidata.org/wiki/Q5113979","display_name":"Chronic leukemia","level":4,"score":0.4160063564777374},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.414380818605423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3644130229949951},{"id":"https://openalex.org/C2776863199","wikidata":"https://www.wikidata.org/wiki/Q976388","display_name":"Acute leukemia","level":3,"score":0.28775960206985474},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16238701343536377},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09908780455589294}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mi-sta57575.2023.10169443","doi":"https://doi.org/10.1109/mi-sta57575.2023.10169443","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mi-sta57575.2023.10169443","pdf_url":null,"source":{"id":"https://openalex.org/S4363608233","display_name":"IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W49739312","https://openalex.org/W1500895378","https://openalex.org/W1966701961","https://openalex.org/W2136549460","https://openalex.org/W2323310451","https://openalex.org/W2370924594","https://openalex.org/W2554616561","https://openalex.org/W2562498401","https://openalex.org/W2774828403","https://openalex.org/W3189089876","https://openalex.org/W4226073007","https://openalex.org/W4281656676","https://openalex.org/W4285092662"],"related_works":["https://openalex.org/W4405379208","https://openalex.org/W1605127442","https://openalex.org/W2379079144","https://openalex.org/W4400226202","https://openalex.org/W4412190185","https://openalex.org/W4407749511","https://openalex.org/W4406525481","https://openalex.org/W4362516066","https://openalex.org/W4200464880","https://openalex.org/W1976908900"],"abstract_inverted_index":{"The":[0,94],"development":[1],"of":[2,9,33,35,51,75,82,102,108,147,163],"Microarray":[3],"technology":[4],"has":[5],"provided":[6],"vast":[7],"amounts":[8],"data":[10,62],"in":[11,23,45,125,154],"various":[12,135],"fields,":[13],"including":[14],"a":[15,20],"cancer":[16,24,88,104],"database":[17,29],"which":[18],"plays":[19],"crucial":[21],"role":[22],"prediction":[25],"and":[26,53,65,121,128,141],"recognition.":[27],"This":[28],"includes":[30],"expression":[31,80],"levels":[32,81],"thousands":[34],"genes":[36,52,164],"from":[37],"several":[38],"samples;":[39],"however,":[40],"the":[41,46,49,73,76,79,99,106,145,148,155,160],"primary":[42],"challenge":[43],"lies":[44],"mismatch":[47],"between":[48],"dimensions":[50],"samples.":[54],"To":[55,131],"tackle":[56],"this":[57,85,133],"issue,":[58],"Artificial":[59],"Intelligence":[60],"algorithms,":[61],"mining":[63],"methods,":[64],"computer":[66],"science":[67],"technologies":[68],"are":[69],"used":[70],"to":[71,111,144],"reduce":[72],"dimensionality":[74,150],"matrix":[77],"containing":[78],"genes.":[83],"After":[84],"reduction":[86,151],"step,":[87],"classification":[89,101,157],"or":[90],"recognition":[91],"takes":[92],"place.":[93],"present":[95],"study":[96],"focuses":[97],"on":[98],"binary":[100],"leukemia":[103,113],"with":[105],"aim":[107],"enabling":[109],"scientists":[110],"classify":[112],"samples":[114],"into":[115],"two":[116],"classes":[117],"(Acute":[118],"Lymphocytic":[119],"Leukemia":[120],"Acute":[122],"Myelocytic":[123],"Leukemia)":[124],"more":[126],"efficient":[127],"accurate":[129],"manner.":[130],"achieve":[132],"objective,":[134],"feature":[136],"selection":[137],"methods":[138],"were":[139],"applied":[140],"compared,":[142],"leading":[143],"adoption":[146],"best":[149],"algorithm,":[152],"resulting":[153],"highest":[156],"accuracy":[158],"using":[159],"minimum":[161],"number":[162],"(features).":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-07-07T00:00:00"}