{"id":"https://openalex.org/W2884533157","doi":"https://doi.org/10.1109/tcbb.2018.2858776","title":"Class Balanced Multifactor Dimensionality Reduction to Detect Gene\u2013Gene Interactions","display_name":"Class Balanced Multifactor Dimensionality Reduction to Detect Gene\u2013Gene Interactions","publication_year":2018,"publication_date":"2018-07-23","ids":{"openalex":"https://openalex.org/W2884533157","doi":"https://doi.org/10.1109/tcbb.2018.2858776","mag":"2884533157","pmid":"https://pubmed.ncbi.nlm.nih.gov/30040653"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2018.2858776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2018.2858776","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"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/A5065832977","display_name":"Cheng\u2010Hong Yang","orcid":"https://orcid.org/0000-0002-2741-0072"},"institutions":[{"id":"https://openalex.org/I152743029","display_name":"Kaohsiung Medical University","ror":"https://ror.org/03gk81f96","country_code":"TW","type":"education","lineage":["https://openalex.org/I152743029"]},{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Hong Yang","raw_affiliation_strings":["Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-2741-0072","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394"]},{"raw_affiliation_string":"Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I152743029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068361665","display_name":"Yu\u2010Da Lin","orcid":"https://orcid.org/0000-0001-5100-6072"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Da Lin","raw_affiliation_strings":["Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-5100-6072","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034774683","display_name":"Li\u2010Yeh Chuang","orcid":"https://orcid.org/0000-0002-9817-5102"},"institutions":[{"id":"https://openalex.org/I98298690","display_name":"I-Shou University","ror":"https://ror.org/04d7e4m76","country_code":"TW","type":"education","lineage":["https://openalex.org/I98298690"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Yeh Chuang","raw_affiliation_strings":["Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I98298690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9898,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.74784208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":"1","first_page":"71","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9988999962806702,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9988999962806702,"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":0.9987000226974487,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9969000220298767,"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/multifactor-dimensionality-reduction","display_name":"Multifactor dimensionality reduction","score":0.8495101928710938},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.628699541091919},{"id":"https://openalex.org/keywords/epistasis","display_name":"Epistasis","score":0.5964218974113464},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5187475681304932},{"id":"https://openalex.org/keywords/minor-allele-frequency","display_name":"Minor allele frequency","score":0.5135900974273682},{"id":"https://openalex.org/keywords/type-i-and-type-ii-errors","display_name":"Type I and type II errors","score":0.5068405270576477},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.4828677475452423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4801892042160034},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4761933386325836},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47551876306533813},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4560664892196655},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4499920904636383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44395729899406433},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.4410301446914673},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.43241071701049805},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.4081836938858032},{"id":"https://openalex.org/keywords/allele-frequency","display_name":"Allele frequency","score":0.3688802719116211},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32612699270248413},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.3180251717567444},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.291526198387146},{"id":"https://openalex.org/keywords/allele","display_name":"Allele","score":0.2737969756126404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2668713927268982},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.1715301275253296}],"concepts":[{"id":"https://openalex.org/C25249476","wikidata":"https://www.wikidata.org/wiki/Q6934678","display_name":"Multifactor dimensionality reduction","level":5,"score":0.8495101928710938},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.628699541091919},{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.5964218974113464},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5187475681304932},{"id":"https://openalex.org/C157410074","wikidata":"https://www.wikidata.org/wiki/Q6869145","display_name":"Minor allele frequency","level":5,"score":0.5135900974273682},{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.5068405270576477},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.4828677475452423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4801892042160034},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4761933386325836},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47551876306533813},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4560664892196655},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4499920904636383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44395729899406433},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.4410301446914673},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.43241071701049805},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.4081836938858032},{"id":"https://openalex.org/C37463918","wikidata":"https://www.wikidata.org/wiki/Q387981","display_name":"Allele frequency","level":4,"score":0.3688802719116211},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32612699270248413},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.3180251717567444},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.291526198387146},{"id":"https://openalex.org/C180754005","wikidata":"https://www.wikidata.org/wiki/Q80726","display_name":"Allele","level":3,"score":0.2737969756126404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2668713927268982},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.1715301275253296},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.0}],"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":"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":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D058011","descriptor_name":"Multifactor Dimensionality Reduction","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058011","descriptor_name":"Multifactor Dimensionality Reduction","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058011","descriptor_name":"Multifactor Dimensionality Reduction","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2018.2858776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2018.2858776","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"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:30040653","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30040653","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/G3862266941","display_name":null,"funder_award_id":"104-2221-E-214-035-MY2","funder_id":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology"},{"id":"https://openalex.org/G6317205193","display_name":null,"funder_award_id":"106-2811-E-151 -002","funder_id":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology"},{"id":"https://openalex.org/G8956360990","display_name":null,"funder_award_id":"105-2221-E-151 -053 -MY2","funder_id":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1571779206","https://openalex.org/W1893995926","https://openalex.org/W1964251403","https://openalex.org/W1964937824","https://openalex.org/W1965168184","https://openalex.org/W1966303573","https://openalex.org/W1968455482","https://openalex.org/W1968793720","https://openalex.org/W1980577693","https://openalex.org/W1983448619","https://openalex.org/W1990202290","https://openalex.org/W1992780981","https://openalex.org/W1993817351","https://openalex.org/W1998276064","https://openalex.org/W1999361718","https://openalex.org/W2010796941","https://openalex.org/W2011556493","https://openalex.org/W2016393220","https://openalex.org/W2032714982","https://openalex.org/W2041170649","https://openalex.org/W2042932723","https://openalex.org/W2043591360","https://openalex.org/W2063575312","https://openalex.org/W2082407017","https://openalex.org/W2083279600","https://openalex.org/W2083944388","https://openalex.org/W2084150578","https://openalex.org/W2085579219","https://openalex.org/W2091842562","https://openalex.org/W2107198537","https://openalex.org/W2113264508","https://openalex.org/W2119033927","https://openalex.org/W2119556453","https://openalex.org/W2119907069","https://openalex.org/W2122250592","https://openalex.org/W2122450058","https://openalex.org/W2123427204","https://openalex.org/W2126964466","https://openalex.org/W2129133658","https://openalex.org/W2131878646","https://openalex.org/W2133298971","https://openalex.org/W2134783591","https://openalex.org/W2136167691","https://openalex.org/W2141063866","https://openalex.org/W2153689210","https://openalex.org/W2154572047","https://openalex.org/W2155781289","https://openalex.org/W2171626300","https://openalex.org/W2504552073","https://openalex.org/W2510596894","https://openalex.org/W2528968763","https://openalex.org/W2751872965","https://openalex.org/W3151658902","https://openalex.org/W4236806314"],"related_works":["https://openalex.org/W1991506152","https://openalex.org/W4299675763","https://openalex.org/W2144981536","https://openalex.org/W2087510781","https://openalex.org/W2107459349","https://openalex.org/W2472001202","https://openalex.org/W1996793801","https://openalex.org/W2550732683","https://openalex.org/W2117489074","https://openalex.org/W4220713674"],"abstract_inverted_index":{"Detecting":[0],"gene-gene":[1,110,142],"interactions":[2],"in":[3,23,50],"single-nucleotide":[4],"polymorphism":[5],"data":[6,105,114,122],"is":[7],"vital":[8],"for":[9,32,113],"understanding":[10],"disease":[11],"susceptibility.":[12],"However,":[13],"existing":[14,101],"approaches":[15],"may":[16],"be":[17],"limited":[18],"by":[19,59],"the":[20,33,41,46,56,61,98,127],"sample":[21,118],"size":[22],"case-control":[24],"studies.":[25],"Herein,":[26],"we":[27,77],"propose":[28],"a":[29],"balance":[30],"approach":[31],"multifactor":[34],"dimensionality":[35],"reduction":[36],"(BMDR)":[37],"method":[38],"to":[39,96],"increase":[40],"accuracy":[42],"of":[43,45,63,100],"estimates":[44],"prediction":[47,64],"error":[48,65],"rate":[49],"small":[51,117],"samples.":[52],"BMDR":[53,107,137],"explicitly":[54],"selects":[55],"best":[57],"model":[58],"evaluating":[60],"average":[62],"rates":[66],"over":[67],"k-fold":[68],"cross-validation":[69,71],"without":[70,84],"consistency":[72],"selection.":[73],"In":[74],"this":[75],"study,":[76],"used":[78],"several":[79],"epistatic":[80],"models":[81],"with":[82,116],"and":[83,92,133],"marginal":[85],"effects":[86],"under":[87],"different":[88],"parameter":[89],"settings":[90],"(heritability":[91],"minor":[93],"allele":[94],"frequencies)":[95],"evaluate":[97],"performance":[99],"approaches.":[102],"Using":[103],"simulated":[104],"sets,":[106],"successfully":[108],"detected":[109],"interactions,":[111],"particularly":[112],"sets":[115],"sizes.":[119],"A":[120],"large":[121],"set":[123],"was":[124],"obtained":[125],"from":[126],"Wellcome":[128],"Trust":[129],"Case":[130],"Control":[131],"Consortium,":[132],"results":[134],"indicated":[135],"that":[136],"could":[138],"effectively":[139],"detect":[140],"significant":[141],"interactions.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
