{"id":"https://openalex.org/W3176466131","doi":"https://doi.org/10.1109/tcbb.2021.3092719","title":"An Approach of Epistasis Detection Using Integer Linear Programming Optimizing Bayesian Network","display_name":"An Approach of Epistasis Detection Using Integer Linear Programming Optimizing Bayesian Network","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3176466131","doi":"https://doi.org/10.1109/tcbb.2021.3092719","mag":"3176466131","pmid":"https://pubmed.ncbi.nlm.nih.gov/34181547"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2021.3092719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3092719","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100692891","display_name":"Xuan Yang","orcid":"https://orcid.org/0000-0002-6306-0110"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Yang","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101465750","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0002-3284-8554"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-3284-8554","affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015721394","display_name":"Jimeng Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jimeng Lei","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016726574","display_name":"Jianxiao Liu","orcid":"https://orcid.org/0000-0002-9165-4012"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiao Liu","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-9165-4012","affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I204823248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204823248"],"apc_list":null,"apc_paid":null,"fwci":0.4826,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69448685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":"5","first_page":"2654","last_page":"2671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9907000064849854,"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"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9782000184059143,"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":0.5772510170936584},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.5020804405212402},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4696342945098877},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.432546466588974},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.38193589448928833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3526253402233124},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3288148045539856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25487735867500305},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.24158671498298645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5772510170936584},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.5020804405212402},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4696342945098877},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.432546466588974},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.38193589448928833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3526253402233124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3288148045539856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25487735867500305},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24158671498298645}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D011382","descriptor_name":"Programming, Linear","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011382","descriptor_name":"Programming, Linear","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011382","descriptor_name":"Programming, Linear","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2021.3092719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3092719","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:34181547","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34181547","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3902040863","display_name":null,"funder_award_id":"2021ZKPY018","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4071971942","display_name":null,"funder_award_id":"91935302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6023783866","display_name":null,"funder_award_id":"2662021JC008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8492919643","display_name":null,"funder_award_id":"31601078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1481655810","https://openalex.org/W1822695366","https://openalex.org/W1862091519","https://openalex.org/W1974510435","https://openalex.org/W1979254666","https://openalex.org/W1980577693","https://openalex.org/W1981696983","https://openalex.org/W2009683816","https://openalex.org/W2017489620","https://openalex.org/W2025681012","https://openalex.org/W2026292458","https://openalex.org/W2041170649","https://openalex.org/W2046918131","https://openalex.org/W2090165362","https://openalex.org/W2096128091","https://openalex.org/W2097508746","https://openalex.org/W2098038934","https://openalex.org/W2101350555","https://openalex.org/W2113082345","https://openalex.org/W2113784410","https://openalex.org/W2115114820","https://openalex.org/W2120423544","https://openalex.org/W2124375800","https://openalex.org/W2126964466","https://openalex.org/W2128088446","https://openalex.org/W2129961269","https://openalex.org/W2130957035","https://openalex.org/W2134874218","https://openalex.org/W2150305259","https://openalex.org/W2154572047","https://openalex.org/W2155381325","https://openalex.org/W2155781289","https://openalex.org/W2158620919","https://openalex.org/W2161630867","https://openalex.org/W2184613487","https://openalex.org/W2232721574","https://openalex.org/W2249676289","https://openalex.org/W2285056512","https://openalex.org/W2307163007","https://openalex.org/W2319197375","https://openalex.org/W2339367392","https://openalex.org/W2405013394","https://openalex.org/W2517459249","https://openalex.org/W2605140612","https://openalex.org/W2617467681","https://openalex.org/W2727539851","https://openalex.org/W2766560177","https://openalex.org/W2790029186","https://openalex.org/W2790971724","https://openalex.org/W2809314951","https://openalex.org/W2912027879","https://openalex.org/W2953267417","https://openalex.org/W2971147549","https://openalex.org/W2982508689","https://openalex.org/W3005422319","https://openalex.org/W6635459107","https://openalex.org/W6764879310"],"related_works":["https://openalex.org/W4236579886","https://openalex.org/W2370221588","https://openalex.org/W4285307216","https://openalex.org/W1988705452","https://openalex.org/W2589794759","https://openalex.org/W1502219449","https://openalex.org/W2394008745","https://openalex.org/W2347219288","https://openalex.org/W2366221835","https://openalex.org/W2752082456"],"abstract_inverted_index":{"Proposing":[0],"a":[1],"more":[2],"effective":[3],"and":[4,32,49,52,73,105,116,134,207,230,248,264],"accurate":[5],"epistatic":[6,56,120],"loci":[7,121,133],"detection":[8,245],"method":[9,142],"in":[10,43,252],"large-scale":[11,77,130],"genomic":[12],"data":[13],"has":[14,39,242],"important":[15],"research":[16],"significance":[17],"for":[18,155,166,194],"improving":[19],"crop":[20],"quality,":[21],"disease":[22,234],"treatment,":[23],"etc.":[24],"Due":[25],"to":[26,54,68,75,108,118,128,136,147,171,185],"the":[27,45,59,85,92,101,110,141,149,168,173,188,256],"characteristics":[28],"of":[29,47,61,78,87,94,103,131,143,151,180,190,254],"high":[30],"accuracy":[31],"processing":[33,167],"non-linear":[34],"relationship,":[35],"Bayesian":[36,89,113],"network":[37,46,90,114],"(BN)":[38],"been":[40],"widely":[41],"used":[42],"constructing":[44],"SNPs":[48],"phenotype":[50,124],"traits":[51],"thus":[53,117],"mine":[55],"loci.":[57],"However,":[58],"shortcoming":[60],"BN":[62,174,181],"is":[63,66,164],"that":[64,163,200,240],"it":[65],"easy":[67],"fall":[69],"into":[70,91],"local":[71],"optimum":[72],"unable":[74],"process":[76,205],"SNPs.":[79],"In":[80,126,158],"this":[81],"work,":[82],"we":[83,139,160,218],"transform":[84],"problem":[86],"learning":[88],"optimization":[93],"integer":[95],"linear":[96],"programming":[97],"(ILP).":[98],"We":[99,176],"use":[100,140,161,177],"algorithms":[102,226],"branch-and-bound":[104],"cutting":[106],"planes":[107],"get":[109,119],"global":[111],"optimal":[112],"(ILPBN),":[115],"influencing":[122],"specific":[123],"traits.":[125],"order":[127],"handle":[129],"SNP":[132],"further":[135,186],"improve":[137],"efficiency,":[138],"optimizing":[144],"Markov":[145],"blanket":[146],"reduce":[148,187],"number":[150,189],"candidate":[152,191],"parent":[153,192],"nodes":[154],"each":[156,195],"node.":[157,196],"addition,":[159],"\u03b1-BIC":[162],"suitable":[165],"epistatis":[169],"mining":[170,225],"calculate":[172],"score.":[175],"four":[178],"properties":[179],"decomposable":[182],"scoring":[183],"functions":[184],"sets":[193],"Experiment":[197,237],"results":[198,238],"show":[199,239],"ILPBN":[201,220,241],"can":[202],"not":[203],"only":[204],"2-locus":[206],"3-locus":[208],"epistasis":[209,215,224,244],"mining,":[210],"but":[211],"also":[212],"realize":[213],"multi-locus":[214],"detection.":[216],"Finally,":[217],"compare":[219],"with":[221,259],"several":[222],"popular":[223],"by":[227],"using":[228],"simulated":[229],"real":[231],"Age-related":[232],"macular":[233],"(AMD)":[235],"dataset.":[236],"better":[243],"accuracy,":[246],"F1-score":[247],"false":[249],"positive":[250],"rate":[251],"premise":[253],"ensuring":[255],"efficiency":[257],"compared":[258],"other":[260],"methods.":[261],"Availability:":[262],"Codes":[263],"dataset":[265],"are":[266],"available":[267],"at:":[268],"http://122.205.95.139/ILPBN/.":[269]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}