{"id":"https://openalex.org/W4406260121","doi":"https://doi.org/10.1109/bibm62325.2024.10821989","title":"Multi-Population Ant Colony Optimization With Knowledge-Based Local Searches for Epistasis Detection","display_name":"Multi-Population Ant Colony Optimization With Knowledge-Based Local Searches for Epistasis Detection","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406260121","doi":"https://doi.org/10.1109/bibm62325.2024.10821989"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10821989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5016869122","display_name":"Qianqian Ren","orcid":"https://orcid.org/0000-0003-0235-2096"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianqian Ren","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113687078","display_name":"S. Liu","orcid":"https://orcid.org/0009-0002-9056-8849"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyi Liu","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054822517","display_name":"Lianlian Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianlian Zhang","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007539735","display_name":"Junliang Shang","orcid":"https://orcid.org/0000-0002-8488-2228"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Shang","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448882","display_name":"Feng Li","orcid":"https://orcid.org/0000-0002-2616-5343"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Li","raw_affiliation_strings":["Qufu Normal University,School of Computer Science,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Computer Science,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016869122"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78233872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"639","last_page":"642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.44190001487731934,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.44190001487731934,"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/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6987760663032532},{"id":"https://openalex.org/keywords/epistasis","display_name":"Epistasis","score":0.6073116064071655},{"id":"https://openalex.org/keywords/ant","display_name":"ANT","score":0.5955557227134705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5540345907211304},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.49108338356018066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4529910385608673},{"id":"https://openalex.org/keywords/ant-colony","display_name":"Ant colony","score":0.415242463350296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3665434718132019},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.25005853176116943},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.13052237033843994},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.1169532835483551}],"concepts":[{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6987760663032532},{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.6073116064071655},{"id":"https://openalex.org/C97467695","wikidata":"https://www.wikidata.org/wiki/Q295802","display_name":"ANT","level":2,"score":0.5955557227134705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5540345907211304},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.49108338356018066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4529910385608673},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.415242463350296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3665434718132019},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.25005853176116943},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.13052237033843994},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.1169532835483551},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10821989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/W1822695366","https://openalex.org/W2016393220","https://openalex.org/W2041170649","https://openalex.org/W2118051273","https://openalex.org/W2125858955","https://openalex.org/W2152905639","https://openalex.org/W2489996366","https://openalex.org/W2809314951","https://openalex.org/W2900352840","https://openalex.org/W2912027879","https://openalex.org/W2988685366","https://openalex.org/W3013264051","https://openalex.org/W3082676534","https://openalex.org/W3093203336","https://openalex.org/W4213217555","https://openalex.org/W4280575851","https://openalex.org/W4288694737"],"related_works":["https://openalex.org/W4237535716","https://openalex.org/W2110363036","https://openalex.org/W2347951034","https://openalex.org/W2388326823","https://openalex.org/W2366876790","https://openalex.org/W2381829748","https://openalex.org/W4399062323","https://openalex.org/W2071981049","https://openalex.org/W2244460820","https://openalex.org/W2109336245"],"abstract_inverted_index":{"Analysis":[0],"of":[1,12,110,136],"epistatic":[2,91,130,160],"interaction":[3,21],"is":[4,39,77,117],"an":[5,71,113],"important":[6],"means":[7],"to":[8,24,89,94,105,122,128],"study":[9],"the":[10,26,96,107,120,134,137,156],"pathogenesis":[11],"complex":[13,43],"diseases":[14],"in":[15,100,158,162],"genome-wide":[16],"association":[17],"studies":[18],"(GWAS).":[19],"Epistatic":[20],"detection":[22,54],"aims":[23],"identify":[25],"ideal":[27],"combination":[28,38],"among":[29],"single":[30,102],"nucleotide":[31],"polymorphisms":[32],"(SNPs)":[33],"and":[34,56],"determine":[35],"whether":[36],"this":[37,61],"significantly":[40],"associated":[41],"with":[42,70],"diseases.":[44],"However,":[45],"they":[46],"suffer":[47],"from":[48],"certain":[49],"limitations,":[50],"such":[51],"as":[52],"low":[53],"power":[55],"long":[57],"execution":[58],"times.":[59],"Therefore,":[60],"paper":[62],"proposes":[63],"a":[64,78,101],"multi-population":[65,82],"ant":[66],"colony":[67],"optimization":[68],"algorithm":[69,121],"adaptive":[72,114],"heuristic":[73,115],"strategy":[74,116],"(MPACO-AHS).":[75],"MPACO-AHS":[76,150],"framework":[79],"based":[80],"on":[81,124,143],"approaches,":[83],"where":[84],"multiple":[85],"populations":[86],"are":[87,141],"employed":[88],"detect":[90],"interactions,":[92,131],"helping":[93],"avoid":[95],"data":[97],"bias":[98],"inherent":[99],"population.":[103],"Moreover,":[104],"guide":[106],"search":[108],"direction":[109],"each":[111],"population,":[112],"introduced,":[118],"allowing":[119],"focus":[123],"areas":[125],"more":[126],"likely":[127],"contain":[129],"thereby":[132],"improving":[133],"accuracy":[135],"results.":[138],"Comprehensive":[139],"experiments":[140],"conducted":[142],"simulated":[144],"datasets.":[145],"The":[146],"results":[147],"demonstrate":[148],"that":[149],"outperforms":[151],"existing":[152],"algorithms":[153],"by":[154],"overcoming":[155],"challenges":[157],"detecting":[159],"interactions":[161],"GWAS.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}