{"id":"https://openalex.org/W2063208669","doi":"https://doi.org/10.1109/bmei.2012.6512883","title":"A hybrid evolutionary algorithm for promoter recognition","display_name":"A hybrid evolutionary algorithm for promoter recognition","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2063208669","doi":"https://doi.org/10.1109/bmei.2012.6512883","mag":"2063208669"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2012.6512883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","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/A5101779198","display_name":"Lan Tao","orcid":"https://orcid.org/0000-0003-1127-2389"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lan Tao","raw_affiliation_strings":["College of Computer and Software, Shenzhen University, Shenzhen, P.R China, 518060","Coll. of Comput. & Software, Shenzhen Univ., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Software, Shenzhen University, Shenzhen, P.R China, 518060","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Coll. of Comput. & Software, Shenzhen Univ., Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108713622","display_name":"Ning Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Fan","raw_affiliation_strings":["College of Computer and Software, Shenzhen University, Shenzhen, P.R China, 518060","Coll. of Comput. & Software, Shenzhen Univ., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Software, Shenzhen University, Shenzhen, P.R China, 518060","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Coll. of Comput. & Software, Shenzhen Univ., Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052762681","display_name":"Zexuan Zhu","orcid":"https://orcid.org/0000-0001-8479-6904"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexuan Zhu","raw_affiliation_strings":["College of Computer and Software, Shenzhen University, Shenzhen, P.R China, 518060","Coll. of Comput. & Software, Shenzhen Univ., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Software, Shenzhen University, Shenzhen, P.R China, 518060","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Coll. of Comput. & Software, Shenzhen Univ., Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101779198"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0919974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"932","last_page":"935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9951000213623047,"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":0.9951000213623047,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9926000237464905,"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":0.9911999702453613,"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":0.6905107498168945},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6484167575836182},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5816368460655212},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5588440895080566},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.543198823928833},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5207316875457764},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4921223521232605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48727452754974365},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4571130573749542},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4386255145072937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4133141040802002},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3924662172794342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3724795877933502},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32945388555526733},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09986850619316101}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905107498168945},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6484167575836182},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5816368460655212},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5588440895080566},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.543198823928833},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5207316875457764},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4921223521232605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48727452754974365},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4571130573749542},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4386255145072937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4133141040802002},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3924662172794342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3724795877933502},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32945388555526733},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09986850619316101},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2012.6512883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1523989055","https://openalex.org/W1849729440","https://openalex.org/W1982589161","https://openalex.org/W1999635750","https://openalex.org/W2019683663","https://openalex.org/W2020355555","https://openalex.org/W2037575202","https://openalex.org/W2064901349","https://openalex.org/W2102186714","https://openalex.org/W2107956883","https://openalex.org/W2119387367","https://openalex.org/W2125055259","https://openalex.org/W2131613989","https://openalex.org/W2168825483","https://openalex.org/W2325319850","https://openalex.org/W6638875480","https://openalex.org/W6684831946"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,12,65],"this":[3],"study":[4],"is":[5,83,97],"to":[6,61,85],"identify":[7],"the":[8,63,66,73],"smallest":[9],"possible":[10],"set":[11],"features":[13,106],"and":[14,42,95,99,104],"optimal":[15],"model":[16],"parameters":[17,64],"for":[18,54],"promoter":[19,55,67,75],"recognition.":[20],"Particularly,":[21],"we":[22],"propose":[23],"a":[24,48],"novel":[25],"hybrid":[26],"evolutionary":[27],"algorithm,":[28],"which":[29],"integrates":[30],"Markov":[31],"blanket-embedded":[32],"genetic":[33],"algorithm":[34],"(MBEGA),":[35],"comprehensive":[36],"learning":[37],"particle":[38],"swarm":[39],"optimize":[40,62],"(CLPSO),":[41],"support":[43],"vector":[44],"machine":[45],"(SVM)":[46],"as":[47],"whole.":[49],"This":[50],"method":[51],"adopts":[52],"MBEGA":[53],"feature":[56],"selection":[57],"while":[58],"employs":[59],"CLPSO":[60],"identification":[68],"model.":[69],"Empirical":[70],"results":[71],"on":[72],"eukaryotic":[74],"database":[76],"(EPD)":[77],"suggest":[78],"that,":[79],"our":[80],"proposed":[81],"approach":[82],"able":[84],"obtain":[86],"better":[87],"or":[88],"competitive":[89],"classification":[90],"accuracy":[91],"than":[92],"other":[93],"methods":[94],"it":[96],"effective":[98],"efficient":[100],"in":[101,107],"eliminating":[102],"irrelevant":[103],"redundant":[105],"training":[108],"process.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}