{"id":"https://openalex.org/W1965739610","doi":"https://doi.org/10.1145/2330784.2330965","title":"Gene regulatory network reverse engineering using population based incremental learning and K-means","display_name":"Gene regulatory network reverse engineering using population based incremental learning and K-means","publication_year":2012,"publication_date":"2012-07-07","ids":{"openalex":"https://openalex.org/W1965739610","doi":"https://doi.org/10.1145/2330784.2330965","mag":"1965739610"},"language":"en","primary_location":{"id":"doi:10.1145/2330784.2330965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330784.2330965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference companion on Genetic and evolutionary computation","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/A5038140116","display_name":"Leon Palafox","orcid":"https://orcid.org/0000-0003-3448-5133"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Leon Palafox","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005925953","display_name":"Hitoshi Iba","orcid":"https://orcid.org/0000-0001-7815-0306"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Iba Hitoshi","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2688,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56581538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1423","last_page":"1424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9983999729156494,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9983999729156494,"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/T10885","display_name":"Gene expression and cancer classification","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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9695000052452087,"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/gene-regulatory-network","display_name":"Gene regulatory network","score":0.7705413103103638},{"id":"https://openalex.org/keywords/reverse-engineering","display_name":"Reverse engineering","score":0.695223867893219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6488701701164246},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5969616770744324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5349216461181641},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.513652503490448},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4894088804721832},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4794017970561981},{"id":"https://openalex.org/keywords/genetic-network","display_name":"Genetic network","score":0.457559198141098},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3648489713668823},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3294222950935364},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1768711805343628},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.11483892798423767},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.09968003630638123}],"concepts":[{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.7705413103103638},{"id":"https://openalex.org/C207850805","wikidata":"https://www.wikidata.org/wiki/Q269608","display_name":"Reverse engineering","level":2,"score":0.695223867893219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488701701164246},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5969616770744324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5349216461181641},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.513652503490448},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4894088804721832},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4794017970561981},{"id":"https://openalex.org/C2986044853","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Genetic network","level":3,"score":0.457559198141098},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3648489713668823},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3294222950935364},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1768711805343628},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.11483892798423767},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.09968003630638123},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2330784.2330965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330784.2330965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1534948419","https://openalex.org/W1989652873","https://openalex.org/W2026188254","https://openalex.org/W2126874285","https://openalex.org/W2138148774","https://openalex.org/W2151098983","https://openalex.org/W2153355914","https://openalex.org/W2504494713"],"related_works":["https://openalex.org/W2106927126","https://openalex.org/W1530164014","https://openalex.org/W1988143233","https://openalex.org/W2046458379","https://openalex.org/W1883650687","https://openalex.org/W2125300189","https://openalex.org/W1990139847","https://openalex.org/W2982214360","https://openalex.org/W2010984564","https://openalex.org/W1701136775"],"abstract_inverted_index":{"Finding":[0],"interactions":[1],"among":[2],"genes":[3],"is":[4],"one":[5],"of":[6,58],"the":[7,23,40,55,59,80],"main":[8],"problems":[9],"in":[10],"molecular":[11],"biology.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16,68],"use":[17,32,44],"a":[18,33],"novel":[19],"approach":[20],"to":[21,38,53],"model":[22,39],"gene's":[24],"regulations,":[25],"or":[26],"Gene":[27],"Regulatory":[28],"Networks":[29],"(GRNs).":[30],"We":[31,62],"Recursive":[34],"Neural":[35,60],"Network":[36],"(RNN)":[37],"networks,":[41],"and":[42],"then":[43],"Population":[45],"Based":[46],"Incremental":[47],"Learning":[48],"(PBIL)":[49],"enhanced":[50],"with":[51,65,72],"K-means":[52],"find":[54],"optimum":[56],"parameters":[57],"Network.":[61],"present":[63],"experiments":[64],"real":[66],"data,":[67],"compare":[69],"our":[70],"algorithm":[71],"others":[73],"approaches":[74],"by":[75],"calculating":[76],"different":[77],"statistics":[78],"for":[79],"solutions.":[81]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}