{"id":"https://openalex.org/W3005374090","doi":"https://doi.org/10.1109/bibm47256.2019.8983118","title":"Ant Colony Optimization with Self-Evolving Parameter for Detecting Epistatic Interactions","display_name":"Ant Colony Optimization with Self-Evolving Parameter for Detecting Epistatic Interactions","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3005374090","doi":"https://doi.org/10.1109/bibm47256.2019.8983118","mag":"3005374090"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8983118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038661877","display_name":"Boxin Guan","orcid":"https://orcid.org/0000-0002-9122-168X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boxin Guan","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China","School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034917911","display_name":"Yuzhai Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhai Zhao","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China","School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102015800","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-3178-4018"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology,Shenyang,China","School of Information Science and Technology, North China University of Technology, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology,Shenyang,China","institution_ids":["https://openalex.org/I1456306"]},{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100441310","display_name":"Ying Yin","orcid":"https://orcid.org/0000-0002-4128-8616"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yin","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China","School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8367,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80543204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9833999872207642,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9833999872207642,"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":0.973800003528595,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/epistasis","display_name":"Epistasis","score":0.6297051906585693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6272501945495605},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.507522463798523},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5009760856628418},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.4779917597770691},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44760411977767944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38797086477279663},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3486882448196411},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34718751907348633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3310101330280304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20696136355400085},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08766216039657593}],"concepts":[{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.6297051906585693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272501945495605},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.507522463798523},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5009760856628418},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.4779917597770691},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44760411977767944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38797086477279663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3486882448196411},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34718751907348633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3310101330280304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20696136355400085},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08766216039657593},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm47256.2019.8983118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":20,"referenced_works":["https://openalex.org/W1801849579","https://openalex.org/W1822695366","https://openalex.org/W1868492295","https://openalex.org/W1971299565","https://openalex.org/W1980175560","https://openalex.org/W2041170649","https://openalex.org/W2113784410","https://openalex.org/W2118051273","https://openalex.org/W2120423544","https://openalex.org/W2126964466","https://openalex.org/W2129961269","https://openalex.org/W2152905639","https://openalex.org/W2154572047","https://openalex.org/W2307163007","https://openalex.org/W2408073259","https://openalex.org/W2559028527","https://openalex.org/W2801817170","https://openalex.org/W2912027879","https://openalex.org/W2912348516","https://openalex.org/W2946573603"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W1943663474","https://openalex.org/W4299389082","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1829715381","https://openalex.org/W2962747841","https://openalex.org/W2630967916","https://openalex.org/W2392589811","https://openalex.org/W2014162767"],"abstract_inverted_index":{"The":[0,154],"epistatic":[1,134],"interactions":[2],"of":[3,16,28,46,83,108,112,133,146],"single":[4],"nucleotide":[5],"poly-morphisms":[6],"(SNPs)":[7],"are":[8,125],"fundamentally":[9],"important":[10],"for":[11,43,99],"understanding":[12],"the":[13,21,26,64,67,70,80,84,87,106,109,113,116,121,131,163,169],"genetic":[14],"causes":[15],"complex":[17],"diseases.":[18],"Due":[19],"to":[20,78,105,127,130,162,179],"intensive":[22],"computational":[23,39],"burden":[24],"and":[25,41,120,149],"diversity":[27],"disease":[29,47,101],"models,":[30,102],"existing":[31],"methods":[32],"suffer":[33],"from":[34,173],"low":[35],"detection":[36,110,132,171],"power,":[37],"high":[38],"cost,":[40],"preferences":[42],"some":[44],"types":[45],"models.":[48],"To":[49],"tackle":[50],"these":[51],"drawbacks,":[52],"an":[53],"ant":[54],"colony":[55],"optimization":[56],"with":[57,139],"self-evolving":[58,71],"parameter":[59,72],"(SEPACO)":[60],"is":[61,76,137],"proposed":[62,68],"in":[63],"paper.":[65],"In":[66,90],"algorithm,":[69,160],"control":[73],"(SEPC)":[74],"strategy":[75],"used":[77],"select":[79],"best":[81],"parameters":[82,98],"algorithm":[85,183],"during":[86],"running":[88,186],"process.":[89],"this":[91],"way,":[92],"SEPACO":[93,129,136],"can":[94,167],"set":[95],"different":[96,100],"optimal":[97],"which":[103],"leads":[104],"enhancement":[107],"ability":[111],"algorithm.":[114],"Furthermore,":[115],"probability":[117],"distribution":[118],"function":[119],"pheromone":[122],"evaporation":[123],"formula":[124],"improved":[126],"adapt":[128],"interactions.":[135],"compared":[138,161],"other":[140,164],"recent":[141],"algorithms":[142],"on":[143],"a":[144,150],"variety":[145],"simulated":[147],"datasets":[148],"real":[151],"biological":[152],"dataset.":[153],"experimental":[155],"results":[156],"show":[157],"that":[158],"our":[159,182],"test":[165],"algorithms,":[166],"improve":[168],"average":[170],"power":[172],"no":[174],"more":[175],"than":[176],"32%":[177],"up":[178],"68%.":[180],"Moreover,":[181],"uses":[184],"less":[185],"time.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
