{"id":"https://openalex.org/W2964136462","doi":"https://doi.org/10.1109/tcbb.2018.2868667","title":"Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women","display_name":"Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women","publication_year":2018,"publication_date":"2018-09-03","ids":{"openalex":"https://openalex.org/W2964136462","doi":"https://doi.org/10.1109/tcbb.2018.2868667","mag":"2964136462","pmid":"https://pubmed.ncbi.nlm.nih.gov/30183645"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2018.2868667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2018.2868667","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/A5015808667","display_name":"Paul Fergus","orcid":"https://orcid.org/0000-0002-7070-4447"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Fergus","raw_affiliation_strings":["Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-7070-4447","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014242970","display_name":"Casimiro Curbelo Monta\u00f1ez","orcid":"https://orcid.org/0000-0001-5690-2474"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Casimiro Curbelo Monta\u00f1ez","raw_affiliation_strings":["Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-5690-2474","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085285422","display_name":"Basma Abdulaimma","orcid":null},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Basma Abdulaimma","raw_affiliation_strings":["Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010155676","display_name":"Paulo Lisb\u00f6a","orcid":"https://orcid.org/0000-0001-6365-4499"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paulo Lisboa","raw_affiliation_strings":["Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-6365-4499","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019193550","display_name":"Carl Chalmers","orcid":"https://orcid.org/0000-0003-0822-1150"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Carl Chalmers","raw_affiliation_strings":["Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-0822-1150","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047077263","display_name":"Beth L. Pineles","orcid":"https://orcid.org/0000-0002-0450-2943"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"id":"https://openalex.org/I1315496137","display_name":"University of Maryland Medical Center","ror":"https://ror.org/00sde4n60","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1315496137","https://openalex.org/I14285509"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beth Pineles","raw_affiliation_strings":["University of Maryland Medical Center, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Medical Center, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593","https://openalex.org/I1315496137"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9427,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94184765,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"2","first_page":"668","last_page":"678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9958000183105469,"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/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9958000183105469,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9921000003814697,"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/T11629","display_name":"Birth, Development, and Health","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/genome-wide-association-study","display_name":"Genome-wide association study","score":0.8568770289421082},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.6773375272750854},{"id":"https://openalex.org/keywords/epistasis","display_name":"Epistasis","score":0.6378220319747925},{"id":"https://openalex.org/keywords/genetic-association","display_name":"Genetic association","score":0.5752580761909485},{"id":"https://openalex.org/keywords/snp","display_name":"SNP","score":0.4897878170013428},{"id":"https://openalex.org/keywords/expression-quantitative-trait-loci","display_name":"Expression quantitative trait loci","score":0.4123838543891907},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.40660563111305237},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.4001302421092987},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.3853234052658081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3471847176551819},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.24554091691970825},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.08061116933822632}],"concepts":[{"id":"https://openalex.org/C106208931","wikidata":"https://www.wikidata.org/wiki/Q1098876","display_name":"Genome-wide association study","level":5,"score":0.8568770289421082},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.6773375272750854},{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.6378220319747925},{"id":"https://openalex.org/C186413461","wikidata":"https://www.wikidata.org/wiki/Q744727","display_name":"Genetic association","level":5,"score":0.5752580761909485},{"id":"https://openalex.org/C139275648","wikidata":"https://www.wikidata.org/wiki/Q17134011","display_name":"SNP","level":5,"score":0.4897878170013428},{"id":"https://openalex.org/C168393362","wikidata":"https://www.wikidata.org/wiki/Q5421706","display_name":"Expression quantitative trait loci","level":5,"score":0.4123838543891907},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.40660563111305237},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4001302421092987},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.3853234052658081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3471847176551819},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.24554091691970825},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.08061116933822632}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D001741","descriptor_name":"Black or African American","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001741","descriptor_name":"Black or African American","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001741","descriptor_name":"Black or African American","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","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":"D047928","descriptor_name":"Premature Birth","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","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":false},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2018.2868667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2018.2868667","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:30183645","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30183645","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1572063013","https://openalex.org/W1585965485","https://openalex.org/W1822695366","https://openalex.org/W1862091519","https://openalex.org/W1965954202","https://openalex.org/W1971299565","https://openalex.org/W1975755498","https://openalex.org/W1981927147","https://openalex.org/W1992370145","https://openalex.org/W1996032281","https://openalex.org/W2008719690","https://openalex.org/W2012150214","https://openalex.org/W2016466384","https://openalex.org/W2028260332","https://openalex.org/W2042889949","https://openalex.org/W2064974004","https://openalex.org/W2070082005","https://openalex.org/W2086099578","https://openalex.org/W2091596103","https://openalex.org/W2101350555","https://openalex.org/W2104579579","https://openalex.org/W2117446594","https://openalex.org/W2119169789","https://openalex.org/W2128207034","https://openalex.org/W2136186575","https://openalex.org/W2137514719","https://openalex.org/W2156387975","https://openalex.org/W2157752701","https://openalex.org/W2160936184","https://openalex.org/W2161633633","https://openalex.org/W2166266395","https://openalex.org/W2198606573","https://openalex.org/W2335199723","https://openalex.org/W2503135644","https://openalex.org/W2504700942","https://openalex.org/W2507218844","https://openalex.org/W2514534732","https://openalex.org/W2593086047","https://openalex.org/W2743138268","https://openalex.org/W2919115771","https://openalex.org/W2962790223","https://openalex.org/W4230212260","https://openalex.org/W4236925435","https://openalex.org/W4252029738","https://openalex.org/W6635003288","https://openalex.org/W6677480971","https://openalex.org/W6682889407"],"related_works":["https://openalex.org/W104925310","https://openalex.org/W2464196154","https://openalex.org/W2140249224","https://openalex.org/W1995613491","https://openalex.org/W2951751247","https://openalex.org/W2143143063","https://openalex.org/W2112543488","https://openalex.org/W4323567910","https://openalex.org/W4384126845","https://openalex.org/W2071852132"],"abstract_inverted_index":{"Genome-Wide":[0],"Association":[1],"Studies":[2],"(GWAS)":[3],"are":[4,279],"used":[5,264,315],"to":[6,19,42,92,125,147,186,265,294,316,399],"identify":[7,43],"statistically":[8],"significant":[9],"genetic":[10,217],"variants":[11],"in":[12,65,154,200],"case-control":[13,197],"studies.":[14],"The":[15,287,323,375],"main":[16],"objective":[17],"is":[18,71,113,133,157,233],"find":[20],"single":[21],"nucleotide":[22],"polymorphisms":[23],"(SNPs)":[24],"that":[25,60,85,109,123,173,290],"influence":[26,126],"a":[27,36,127,137,158,170,215,257,267,318,380,385,390],"particular":[28,128],"phenotype":[29,105],"(i.e.,":[30],"disease":[31],"trait).":[32],"GWAS":[33,175,201,227],"typically":[34],"use":[35],"p-value":[37],"threshold":[38,78],"of":[39,62,121,139,209],"<inline-formula><tex-math":[40,311],"notation=\"LaTeX\">$5*10^{-8}$</tex-math></inline-formula>":[41],"highly":[44,319],"ranked":[45],"SNPs.":[46],"While":[47],"this":[48,111,166],"approach":[49,112],"has":[50,58,214],"proven":[51],"useful":[52],"for":[53,79,161,196,269],"detecting":[54],"disease-susceptible":[55],"SNPs,":[56],"evidence":[57],"shown":[59],"many":[61],"these":[63],"are,":[64],"fact,":[66],"false":[67],"positives.":[68],"Consequently,":[69],"there":[70],"some":[72],"ambiguity":[73],"about":[74],"the":[75,94,206,402],"most":[76],"suitable":[77],"claiming":[80],"genome-wide":[81],"significance.":[82],"Many":[83],"believe":[84],"using":[86,281,306,347,371],"lower":[87],"p-values":[88],"will":[89],"allow":[90],"us":[91],"investigate":[93],"joint":[95],"epistatic":[96,152],"interactions":[97,153,190,249],"between":[98,223,271],"SNPs":[99,122,295,304],"and":[100,178,245,263,273,296,314,341,351,367,389],"provide":[101],"better":[102],"insights":[103],"into":[104],"expression.":[106],"One":[107],"example":[108],"uses":[110],"multifactor":[114],"dimensionality":[115],"reduction":[116],"(MDR),":[117],"which":[118,213,235,396],"identifies":[119],"combinations":[120,141],"interact":[124],"outcome.":[129],"However,":[130],"computational":[131],"complexity":[132],"increased":[134],"exponentially":[135],"as":[136],"function":[138],"higher-order":[140,188],"making":[142],"approaches":[143],"like":[144],"MDR":[145],"difficult":[146],"implement.":[148],"Even":[149],"so,":[150],"understanding":[151],"complex":[155,193],"diseases":[156],"fundamental":[159],"component":[160,218],"robust":[162],"genotype-phenotype":[163],"mapping.":[164],"In":[165],"paper,":[167],"we":[168],"propose":[169],"novel":[171],"framework":[172],"combines":[174],"quality":[176],"control":[177],"logistic":[179,307],"regression":[180,308],"with":[181,219,379],"deep":[182,258,403],"learning":[183,259,404],"stacked":[184,260],"autoencoders":[185],"abstract":[187],"SNP":[189,252],"from":[191,231,250,301],"large,":[192],"genotyped":[194],"data":[195,228],"classification":[198],"tasks":[199],"analysis.":[202],"We":[203],"focus":[204],"on":[205,401],"challenging":[207],"problem":[208],"classifying":[210],"preterm":[211,246,274],"births":[212,275],"strong":[216],"unexplained":[220],"heritability":[221],"reportedly":[222],"20-40":[224],"percent.":[225],"A":[226],"set,":[229],"obtained":[230,346],"dbGap":[232],"utilised,":[234],"contains":[236],"predominantly":[237],"urban":[238],"low-income":[239],"African-American":[240],"women":[241],"who":[242],"had":[243],"normal":[244],"deliveries.":[247],"Epistatic":[248],"original":[251],"sequences":[253],"were":[254,345,377],"extracted":[255,300],"through":[256],"autoencoder":[261],"model":[262],"fine-tune":[266],"classifier":[268,284,321],"discriminating":[270],"term":[272],"observations.":[276],"All":[277],"models":[278],"evaluated":[280],"standard":[282],"binary":[283],"performance":[285],"metrics.":[286],"findings":[288],"show":[289],"important":[291],"information":[292],"pertaining":[293],"epistasis":[297],"can":[298],"be":[299],"4,666":[302],"raw":[303],"generated":[305],"(p-value":[309],"=":[310,327,330,333,336,339,343,353,356,359,362,365,369],"notation=\"LaTeX\">$5*10^{-3}$</tex-math></inline-formula>":[312],")":[313],"fit":[317],"accurate":[320],"model.":[322],"following":[324],"results":[325,376],"(Sen":[326,352],"0.9562,":[328],"Spec":[329,355],"0.8780,":[331],"Gini":[332,358],"0.9490,":[334],"Logloss":[335,361],"0.5901,":[337],"AUC":[338,364],"0.9745,":[340],"MSE":[342,368],"0.2010)":[344],"50":[348],"hidden":[349,373],"nodes":[350],"0.9289,":[354],"0.9591,":[357],"0.9651,":[360],"0.3080,":[363],"0.9825,":[366],"0.0942)":[370],"500":[372],"nodes.":[374],"compared":[378],"Support":[381],"Vector":[382],"Machine":[383],"(SVM),":[384],"Random":[386],"Forest":[387],"(RF),":[388],"Fishers":[391],"Linear":[392],"Discriminant":[393],"Analysis":[394],"classifier,":[395],"all":[397],"failed":[398],"improve":[400],"approach.":[405]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}