{"id":"https://openalex.org/W4390971157","doi":"https://doi.org/10.1109/bibm58861.2023.10385464","title":"Selection of Cancer Biomarkers from Microarray Gene Expression Data Utilizing the Bi-Objective Optimization Method","display_name":"Selection of Cancer Biomarkers from Microarray Gene Expression Data Utilizing the Bi-Objective Optimization Method","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971157","doi":"https://doi.org/10.1109/bibm58861.2023.10385464"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385464","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5063073485","display_name":"Han-Jing Jiang","orcid":"https://orcid.org/0000-0003-4208-2027"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanjing Jiang","raw_affiliation_strings":["Huazhong University of Science and Technology,Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China, Institute of Artificial Intelligence, School of Artificial Intelligence and Automation,Wuhan,China,430074"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China, Institute of Artificial Intelligence, School of Artificial Intelligence and Automation,Wuhan,China,430074","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055740828","display_name":"Jianqing Lin","orcid":"https://orcid.org/0000-0002-2861-9126"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqing Lin","raw_affiliation_strings":["Huazhong University of Science and Technology,Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China, Institute of Artificial Intelligence, School of Artificial Intelligence and Automation,Wuhan,China,430074"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China, Institute of Artificial Intelligence, School of Artificial Intelligence and Automation,Wuhan,China,430074","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101951117","display_name":"Huachao Zhu","orcid":"https://orcid.org/0000-0003-0941-2418"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huachao Zhu","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430064"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430064","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067076475","display_name":"Yabing Huang","orcid":"https://orcid.org/0000-0003-1714-1734"},"institutions":[{"id":"https://openalex.org/I4210140357","display_name":"Renmin Hospital of Wuhan University","ror":"https://ror.org/03ekhbz91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140357"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yabing Huang","raw_affiliation_strings":["Renmin Hospital of Wuhan University,Department of Pathology,Wuhan,China,430060"],"affiliations":[{"raw_affiliation_string":"Renmin Hospital of Wuhan University,Department of Pathology,Wuhan,China,430060","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210140357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063073485"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33821366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1993","last_page":"1996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9986000061035156,"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":0.9986000061035156,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9732999801635742,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9724000096321106,"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/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.6825106739997864},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.6558192372322083},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5819920897483826},{"id":"https://openalex.org/keywords/microarray","display_name":"Microarray","score":0.5690076351165771},{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"Biomarker discovery","score":0.5566262602806091},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5557288527488708},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5160434246063232},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5130890607833862},{"id":"https://openalex.org/keywords/cancer-biomarkers","display_name":"Cancer biomarkers","score":0.5088565349578857},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.49566829204559326},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4657381772994995},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.46017518639564514},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.446713924407959},{"id":"https://openalex.org/keywords/microarray-databases","display_name":"Microarray databases","score":0.4199712872505188},{"id":"https://openalex.org/keywords/gene-chip-analysis","display_name":"Gene chip analysis","score":0.4115554094314575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.365234911441803},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3638671636581421},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.29792314767837524},{"id":"https://openalex.org/keywords/proteomics","display_name":"Proteomics","score":0.1807428002357483},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16620582342147827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13692206144332886}],"concepts":[{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.6825106739997864},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.6558192372322083},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5819920897483826},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.5690076351165771},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.5566262602806091},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5557288527488708},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5160434246063232},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5130890607833862},{"id":"https://openalex.org/C2777002142","wikidata":"https://www.wikidata.org/wiki/Q5031432","display_name":"Cancer biomarkers","level":3,"score":0.5088565349578857},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.49566829204559326},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4657381772994995},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.46017518639564514},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.446713924407959},{"id":"https://openalex.org/C548314002","wikidata":"https://www.wikidata.org/wiki/Q6839218","display_name":"Microarray databases","level":5,"score":0.4199712872505188},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.4115554094314575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.365234911441803},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3638671636581421},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.29792314767837524},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.1807428002357483},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16620582342147827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13692206144332886},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385464","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2126105956","https://openalex.org/W2562099966","https://openalex.org/W2988375284","https://openalex.org/W3169360108","https://openalex.org/W4225762911","https://openalex.org/W4226277510","https://openalex.org/W4283579831","https://openalex.org/W4313480089"],"related_works":["https://openalex.org/W1544923801","https://openalex.org/W4377043188","https://openalex.org/W1992520653","https://openalex.org/W2154438952","https://openalex.org/W52758392","https://openalex.org/W4300922152","https://openalex.org/W2160130936","https://openalex.org/W77579337","https://openalex.org/W1521029661","https://openalex.org/W1564492259"],"abstract_inverted_index":{"Cancer-associated":[0],"biomarker":[1,71,82,145],"genes":[2,52,131,176,199],"play":[3],"an":[4],"indispensable":[5],"role":[6],"in":[7,20,53,69,191],"the":[8,33,46,94,97,108,114,118,122,130,135,140,171,174,178,197,202],"intricate":[9],"tapestry":[10],"of":[11,18,23,35,49,51,96,117,143],"cancer":[12,81,144,158,179],"development":[13,34],"and":[14,41,61,99,177],"manifestation.":[15],"The":[16,147],"expression":[17,47,161],"biomarkers":[19],"different":[21],"types":[22],"tumor":[24],"cells":[25],"has":[26],"beneficial":[27],"implications":[28],"for":[29,80],"shedding":[30],"light":[31],"on":[32,156],"various":[36],"cancers,":[37],"guiding":[38],"clinical":[39],"diagnosis,":[40],"treatment.":[42],"Microarray":[43],"technology":[44],"enables":[45],"levels":[48],"thousands":[50],"samples":[54],"to":[55,106,128,138,169],"be":[56],"sequenced":[57],"simultaneously.":[58],"However,":[59],"sparse":[60],"high-dimensional":[62],"microarray":[63,85,109],"data":[64,180],"present":[65],"a":[66,77,88,193],"formidable":[67],"challenge":[68],"identifying":[70],"genes.":[72,146],"This":[73],"study":[74],"presents":[75],"EREF-NSGA2,":[76],"novel":[78],"method":[79],"selection":[83,91,102],"from":[84,134],"data,":[86,110],"employing":[87],"hybrid":[89],"gene":[90,101,160],"approach.":[92],"Firstly,":[93],"combination":[95],"wrapper":[98],"embedded":[100],"methods":[103,155],"is":[104,126,150,167],"proposed":[105,148],"filter":[107],"which":[111],"efficiently":[112],"decreases":[113],"search":[115,129],"space":[116],"algorithm.":[119],"After":[120],"that,":[121],"improved":[123],"NSGA-II":[124],"algorithm":[125],"used":[127],"subset":[132,142,195],"obtained":[133],"previous":[136],"step":[137],"reach":[139],"optimal":[141],"EREF-NSGA2":[149,187],"compared":[151],"with":[152],"other":[153],"reported":[154],"six":[157],"benchmark":[159],"datasets.":[162],"A":[163],"detailed":[164],"biological":[165],"analysis":[166],"performed":[168],"analyze":[170],"relationship":[172],"between":[173],"selected":[175],"sets":[181],"they":[182],"belong":[183],"to.":[184],"To":[185],"summarize,":[186],"proves":[188],"its":[189],"effectiveness":[190],"selecting":[192],"feature":[194],"comprising":[196],"fewest":[198],"while":[200],"maintaining":[201],"highest":[203],"classification":[204],"accuracy.":[205]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}