{"id":"https://openalex.org/W3202968916","doi":"https://doi.org/10.1186/s12859-021-04395-y","title":"Spatial rank-based multifactor dimensionality reduction to detect gene\u2013gene interactions for multivariate phenotypes","display_name":"Spatial rank-based multifactor dimensionality reduction to detect gene\u2013gene interactions for multivariate phenotypes","publication_year":2021,"publication_date":"2021-10-04","ids":{"openalex":"https://openalex.org/W3202968916","doi":"https://doi.org/10.1186/s12859-021-04395-y","mag":"3202968916","pmid":"https://pubmed.ncbi.nlm.nih.gov/34607566"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-021-04395-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04395-y","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04395-y","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04395-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100447427","display_name":"Mira Park","orcid":"https://orcid.org/0000-0003-3827-9089"},"institutions":[{"id":"https://openalex.org/I21028721","display_name":"Eulji University","ror":"https://ror.org/005bty106","country_code":"KR","type":"education","lineage":["https://openalex.org/I21028721"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mira Park","raw_affiliation_strings":["Department of Preventive Medicine, Eulji University, Daejeon, 34824, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Preventive Medicine, Eulji University, Daejeon, 34824, Republic of Korea","institution_ids":["https://openalex.org/I21028721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061581906","display_name":"Hoe-Bin Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I1317225278","display_name":"Statistics Korea","ror":"https://ror.org/004g7jm05","country_code":"KR","type":"government","lineage":["https://openalex.org/I1317225278","https://openalex.org/I2801339556","https://openalex.org/I4210126005"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoe-Bin Jeong","raw_affiliation_strings":["Department of Statistics, Korea University, Seoul, 02841, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Korea University, Seoul, 02841, Republic of Korea","institution_ids":["https://openalex.org/I1317225278","https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739606","display_name":"Jong\u2010Hyun Lee","orcid":"https://orcid.org/0000-0001-6546-973X"},"institutions":[{"id":"https://openalex.org/I1317225278","display_name":"Statistics Korea","ror":"https://ror.org/004g7jm05","country_code":"KR","type":"government","lineage":["https://openalex.org/I1317225278","https://openalex.org/I2801339556","https://openalex.org/I4210126005"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Hyun Lee","raw_affiliation_strings":["Department of Statistics, Korea University, Seoul, 02841, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Korea University, Seoul, 02841, Republic of Korea","institution_ids":["https://openalex.org/I1317225278","https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643662","display_name":"Taesung Park","orcid":"https://orcid.org/0000-0002-8294-590X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4210123907","display_name":"National University College","ror":"https://ror.org/02hs8e066","country_code":"PR","type":"education","lineage":["https://openalex.org/I4210123907"]}],"countries":["KR","PR"],"is_corresponding":true,"raw_author_name":"Taesung Park","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, 08826, Republic of Korea. tspark@stats.snu.ac.kr","Department of Statistics, Seoul National University, Seoul, 08826, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, 08826, Republic of Korea. tspark@stats.snu.ac.kr","institution_ids":["https://openalex.org/I4210123907"]},{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, 08826, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100643662"],"corresponding_institution_ids":["https://openalex.org/I139264467","https://openalex.org/I4210123907"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.6058,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71766155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":"1","first_page":"480","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9886000156402588,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9886000156402588,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.0026000000070780516,"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/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.002199999988079071,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.6205391883850098},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.583911120891571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.561639130115509},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5336502194404602},{"id":"https://openalex.org/keywords/multifactor-dimensionality-reduction","display_name":"Multifactor dimensionality reduction","score":0.514053225517273},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.510653555393219},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.48546937108039856},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.47053560614585876},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44281649589538574},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4373641908168793},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.422023743391037},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3902423083782196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3739124536514282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3368479013442993},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3057222366333008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24023893475532532},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22484663128852844},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.18539923429489136},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16748550534248352},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.15229308605194092},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.14448612928390503}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6205391883850098},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.583911120891571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.561639130115509},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5336502194404602},{"id":"https://openalex.org/C25249476","wikidata":"https://www.wikidata.org/wiki/Q6934678","display_name":"Multifactor dimensionality reduction","level":5,"score":0.514053225517273},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.510653555393219},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.48546937108039856},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.47053560614585876},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44281649589538574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4373641908168793},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.422023743391037},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3902423083782196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3739124536514282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3368479013442993},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3057222366333008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24023893475532532},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22484663128852844},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.18539923429489136},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16748550534248352},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.15229308605194092},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.14448612928390503},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004843","descriptor_name":"Epistasis, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055106","descriptor_name":"Genome-Wide Association Study","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058011","descriptor_name":"Multifactor Dimensionality Reduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058011","descriptor_name":"Multifactor Dimensionality Reduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058011","descriptor_name":"Multifactor Dimensionality Reduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.1186/s12859-021-04395-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04395-y","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04395-y","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:34607566","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34607566","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:d91c2de9111d4798ae736d96404fd0a1","is_oa":true,"landing_page_url":"https://doaj.org/article/d91c2de9111d4798ae736d96404fd0a1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:7383237","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8489107","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8489107","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8489107","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/176929","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/176929","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1186/s12859-021-04395-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-04395-y","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04395-y","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1930285319","display_name":null,"funder_award_id":"2013M3A9C4078158","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G3937902474","display_name":null,"funder_award_id":"2013M3A9C4078158","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6128900712","display_name":null,"funder_award_id":"NRF-2021R1A2C1007788","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202968916.pdf","grobid_xml":"https://content.openalex.org/works/W3202968916.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W339953183","https://openalex.org/W370224183","https://openalex.org/W1495929194","https://openalex.org/W1501108249","https://openalex.org/W1541343175","https://openalex.org/W1948816136","https://openalex.org/W1969130154","https://openalex.org/W1976634586","https://openalex.org/W1982725927","https://openalex.org/W1988280465","https://openalex.org/W2001629081","https://openalex.org/W2004292347","https://openalex.org/W2008418230","https://openalex.org/W2012069179","https://openalex.org/W2016645182","https://openalex.org/W2024488920","https://openalex.org/W2043868810","https://openalex.org/W2055542498","https://openalex.org/W2076220518","https://openalex.org/W2084150578","https://openalex.org/W2088292398","https://openalex.org/W2095263567","https://openalex.org/W2109754852","https://openalex.org/W2112382531","https://openalex.org/W2116442055","https://openalex.org/W2119419044","https://openalex.org/W2123531330","https://openalex.org/W2131878646","https://openalex.org/W2144065166","https://openalex.org/W2144394963","https://openalex.org/W2144981536","https://openalex.org/W2154572047","https://openalex.org/W2161163382","https://openalex.org/W2166150880","https://openalex.org/W2167263050","https://openalex.org/W2171800571","https://openalex.org/W2341084900","https://openalex.org/W2482053526","https://openalex.org/W2508788916","https://openalex.org/W2726051620","https://openalex.org/W2791921452","https://openalex.org/W2801710305","https://openalex.org/W2805034662","https://openalex.org/W2914482125","https://openalex.org/W2916682867","https://openalex.org/W2958571905","https://openalex.org/W2962854806","https://openalex.org/W3021516242","https://openalex.org/W3025268411","https://openalex.org/W3121239749","https://openalex.org/W4251013646"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W3211783303","https://openalex.org/W4386322349","https://openalex.org/W4380483555"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"Identifying":[2],"interaction":[3,74,161],"effects":[4],"between":[5,293],"genes":[6],"is":[7,32,78,86,117,126,237,276],"one":[8],"of":[9,13,198,204,256,287],"the":[10,22,159,164,196,254,288,291],"main":[11],"tasks":[12],"genome-wide":[14,213],"association":[15,214],"studies":[16,191,245],"aiming":[17],"to":[18,47,72,89,129,186,194,206,228],"shed":[19],"light":[20],"on":[21,102],"biological":[23],"mechanisms":[24],"underlying":[25],"complex":[26],"diseases.":[27],"Multifactor":[28],"dimensionality":[29],"reduction":[30],"(MDR)":[31],"a":[33,98,149,207,211,277],"popular":[34],"approach":[35,100,281],"for":[36,61,120,179,234,260,264],"detecting":[37],"gene\u2013gene":[38],"interactions":[39,222],"that":[40,81,217,253,274,282],"has":[41],"been":[42],"extended":[43],"in":[44,171],"various":[45],"forms":[46],"handle":[48],"binary":[49],"and":[50,93,109,125,132,139,157,295],"continuous":[51,123],"phenotypes.":[52,64],"However,":[53],"only":[54],"few":[55],"multivariate":[56,113,279],"MDR":[57,115],"methods":[58,251],"are":[59],"available":[60,238],"multiple":[62,122],"related":[63,227],"Current":[65],"approaches":[66],"use":[67],"Hotelling\u2019s":[68,82],"T":[69,83],"2":[70,84],"statistic":[71,85,152],"evaluate":[73],"models,":[75],"but":[76],"it":[77,218],"well":[79],"known":[80],"highly":[87],"sensitive":[88,128],"heavily":[90],"skewed":[91,130,261],"distributions":[92,131],"outliers.":[94,133],"Results":[95],"We":[96,182],"propose":[97],"robust":[99,180],"based":[101],"nonparametric":[103,173],"statistics":[104,174],"such":[105],"as":[106,153,175],"spatial":[107,150],"signs":[108],"ranks.":[110],"The":[111,231],"new":[112],"rank-based":[114],"(MR-MDR)":[116],"mainly":[118],"suitable":[119],"analyzing":[121],"phenotypes":[124,226],"less":[127],"MR-MDR":[134,147,199,205,236,247,257,267,275],"utilizes":[135],"fuzzy":[136],"k-means":[137],"clustering":[138],"classifies":[140],"multi-locus":[141],"genotypes":[142],"into":[143],"two":[144],"groups.":[145],"Then,":[146],"calculates":[148],"rank-sum":[151],"an":[154,176],"evaluation":[155,177],"measure":[156,178],"selects":[158],"best":[160],"model":[162],"with":[163,200,224,248],"largest":[165],"statistic.":[166],"Our":[167],"novel":[168],"idea":[169],"lies":[170],"adopting":[172],"inference.":[181],"adopt":[183],"tenfold":[184],"cross-validation":[185],"avoid":[187],"overfitting.":[188],"Intensive":[189,243],"simulation":[190,244],"were":[192],"conducted":[193],"compare":[195],"performance":[197,255],"current":[201,250],"methods.":[202],"Application":[203],"real":[208],"dataset":[209],"from":[210],"Korean":[212],"study":[215],"demonstrated":[216],"successfully":[219],"identified":[220],"genetic":[221],"associated":[223],"four":[225],"kidney":[229],"function.":[230],"R":[232],"code":[233],"conducting":[235],"at":[239],"https://github.com/statpark/MR-MDR":[240],".":[241],"Conclusions":[242],"comparing":[246],"several":[249],"showed":[252,268],"was":[258],"outstanding":[259],"distributions.":[262],"Additionally,":[263],"symmetric":[265],"distributions,":[266],"comparable":[269],"power.":[270],"Therefore,":[271],"we":[272],"conclude":[273],"useful":[278],"non-parametric":[280],"can":[283],"be":[284],"used":[285],"regardless":[286],"phenotype":[289],"distribution,":[290],"correlations":[292],"phenotypes,":[294],"sample":[296],"size.":[297]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
