{"id":"https://openalex.org/W3076243292","doi":"https://doi.org/10.1109/tcbb.2021.3080462","title":"EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings","display_name":"EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings","publication_year":2021,"publication_date":"2021-05-14","ids":{"openalex":"https://openalex.org/W3076243292","doi":"https://doi.org/10.1109/tcbb.2021.3080462","mag":"3076243292","pmid":"https://pubmed.ncbi.nlm.nih.gov/33989157"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2021.3080462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3080462","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/A5100384767","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5890-0365"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700887","display_name":"Huiling Zhang","orcid":"https://orcid.org/0000-0001-7096-7995"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Zhang","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, Chongqing, China","[College of Computer and Information Science, Southwest University, 26463 Chongqing, Chongqing, China, (e-mail: hlzhang@email.swu.edu.cn)]"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"[College of Computer and Information Science, Southwest University, 26463 Chongqing, Chongqing, China, (e-mail: hlzhang@email.swu.edu.cn)]","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101926709","display_name":"Wei Ren","orcid":"https://orcid.org/0000-0002-6458-7635"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ren","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, Chongqing, China","[College of Computer and Information Sciences, Southwest University, 26463 Chongqing, Chongqing, China, (e-mail: oicq@swu.edu.cn)]"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"[College of Computer and Information Sciences, Southwest University, 26463 Chongqing, Chongqing, China, (e-mail: oicq@swu.edu.cn)]","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079800756","display_name":"Maozu Guo","orcid":"https://orcid.org/0000-0001-6228-6276"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maozu Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, and Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing, China","School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, 117781 Beijing, Beijing China (e-mail: guomaozu@bucea.edu.cn)"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, and Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing, China","institution_ids":["https://openalex.org/I62853816"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, 117781 Beijing, Beijing China (e-mail: guomaozu@bucea.edu.cn)","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027082940","display_name":"Guoxian Yu","orcid":"https://orcid.org/0000-0002-1667-6705"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxian Yu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100384767"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.8044,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.69725205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"19","issue":"1","first_page":"243","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9922999739646912,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9922999739646912,"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":0.9905999898910522,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9650999903678894,"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/epistasis","display_name":"Epistasis","score":0.7801887392997742},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6119301319122314},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.5739598870277405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5587239265441895},{"id":"https://openalex.org/keywords/candidate-gene","display_name":"Candidate gene","score":0.43579810857772827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4262591004371643},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4138858914375305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3466765284538269},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.29251301288604736},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.231584370136261},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.15011969208717346},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.12213537096977234}],"concepts":[{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.7801887392997742},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6119301319122314},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.5739598870277405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5587239265441895},{"id":"https://openalex.org/C69991583","wikidata":"https://www.wikidata.org/wiki/Q1423575","display_name":"Candidate gene","level":3,"score":0.43579810857772827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4262591004371643},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4138858914375305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3466765284538269},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.29251301288604736},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.231584370136261},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.15011969208717346},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12213537096977234}],"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":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":"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":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","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":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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2021.3080462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3080462","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:33989157","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33989157","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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G5564147583","display_name":null,"funder_award_id":"61872300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6836859050","display_name":null,"funder_award_id":"62031003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8056994637","display_name":null,"funder_award_id":"62072380","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W1500705498","https://openalex.org/W1822695366","https://openalex.org/W1868492295","https://openalex.org/W1966315117","https://openalex.org/W1974510435","https://openalex.org/W1974777081","https://openalex.org/W1980175560","https://openalex.org/W1992137818","https://openalex.org/W1992419399","https://openalex.org/W2025681012","https://openalex.org/W2041170649","https://openalex.org/W2046579578","https://openalex.org/W2047218738","https://openalex.org/W2049031894","https://openalex.org/W2072939927","https://openalex.org/W2077672910","https://openalex.org/W2078310056","https://openalex.org/W2082887801","https://openalex.org/W2083944388","https://openalex.org/W2096128091","https://openalex.org/W2108119513","https://openalex.org/W2113784410","https://openalex.org/W2116868464","https://openalex.org/W2118215201","https://openalex.org/W2118556950","https://openalex.org/W2120423544","https://openalex.org/W2122825543","https://openalex.org/W2126964466","https://openalex.org/W2145022912","https://openalex.org/W2152905639","https://openalex.org/W2154572047","https://openalex.org/W2156064982","https://openalex.org/W2161633633","https://openalex.org/W2164278908","https://openalex.org/W2168103112","https://openalex.org/W2169294950","https://openalex.org/W2404761718","https://openalex.org/W2461291203","https://openalex.org/W2467500590","https://openalex.org/W2533949033","https://openalex.org/W2552558017","https://openalex.org/W2558077163","https://openalex.org/W2564018391","https://openalex.org/W2566051734","https://openalex.org/W2566414761","https://openalex.org/W2589483699","https://openalex.org/W2605140612","https://openalex.org/W2606231487","https://openalex.org/W2618454934","https://openalex.org/W2623604157","https://openalex.org/W2727539851","https://openalex.org/W2771775372","https://openalex.org/W2790029186","https://openalex.org/W2791627555","https://openalex.org/W2799466028","https://openalex.org/W2799768308","https://openalex.org/W2802104200","https://openalex.org/W2887089397","https://openalex.org/W2887677854","https://openalex.org/W2891980998","https://openalex.org/W2900352840","https://openalex.org/W2904403442","https://openalex.org/W2908459820","https://openalex.org/W2916881440","https://openalex.org/W2937093524","https://openalex.org/W2944280506","https://openalex.org/W2944540884","https://openalex.org/W2947929538","https://openalex.org/W2949747779","https://openalex.org/W2957436865","https://openalex.org/W2965622195","https://openalex.org/W2970480621","https://openalex.org/W2974300506","https://openalex.org/W2981345363","https://openalex.org/W2988685366","https://openalex.org/W2989831226","https://openalex.org/W2997516573","https://openalex.org/W2998570830","https://openalex.org/W3012834768","https://openalex.org/W3037207689","https://openalex.org/W3043527904","https://openalex.org/W3093203336","https://openalex.org/W3104824402","https://openalex.org/W3122924386","https://openalex.org/W3160621021","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W1547817677","https://openalex.org/W2615678788","https://openalex.org/W2023460495","https://openalex.org/W2109954095","https://openalex.org/W1967902778","https://openalex.org/W2900730647","https://openalex.org/W2373670798","https://openalex.org/W172227456","https://openalex.org/W2185171978","https://openalex.org/W2400017200"],"abstract_inverted_index":{"Detecting":[0],"single":[1,46,141],"nucleotide":[2],"polymorphisms":[3],"(SNPs)":[4],"interactions":[5,94,209,227],"is":[6],"crucial":[7],"to":[8,48,83,112,129,165,176,191],"identify":[9],"susceptibility":[10],"genes":[11],"associated":[12,145,169,228],"with":[13,229],"complex":[14],"human":[15],"diseases":[16],"in":[17,26,36,206],"genome-wide":[18],"association":[19],"studies.":[20],"Clustering-based":[21],"approaches":[22,41],"are":[23],"widely":[24],"used":[25],"reducing":[27],"search":[28,184],"space":[29],"and":[30,89,143,162,171,233],"exploring":[31],"potential":[32,136],"relationships":[33],"between":[34],"SNPs":[35,122,146],"epistasis":[37],"analysis.":[38],"However,":[39],"these":[40,97],"all":[42,121],"only":[43],"use":[44],"a":[45,67,105,140,203],"measure":[47],"filter":[49],"out":[50,135],"nonsignificant":[51],"SNP":[52],"combinations,":[53],"which":[54,119,238],"may":[55],"be":[56],"significant":[57,225],"ones":[58],"from":[59,148],"another":[60],"perspective.":[61],"In":[62,99,152],"this":[63],"paper,":[64],"we":[65],"propose":[66],"two-stage":[68],"approach":[69],"named":[70],"EpiMC":[71,103,156,181,201,222],"(Epistatic":[72],"Interactions":[73],"detection":[74],"based":[75,95,108],"on":[76,96,185],"Multiple":[77],"Clusterings)":[78],"that":[79,200],"employs":[80],"multiple":[81,109,114],"clusterings":[82,110],"obtain":[84],"more":[85,90],"precise":[86],"candidate":[87,178,189],"sets":[88,190],"comprehensively":[91],"detect":[92,193],"high-order":[93,208],"sets.":[98,179],"the":[100,131,153,159,186,214,241],"first":[101],"stage,":[102,155],"proposes":[104],"matrix":[106],"factorization":[107],"algorithm":[111],"generate":[113],"diverse":[115],"clusterings,":[116],"each":[117],"of":[118,133,243],"divide":[120],"into":[123],"different":[124,149],"clusters.":[125],"This":[126],"stage":[127],"aims":[128],"reduce":[130],"chance":[132],"filtering":[134],"candidates":[137],"overlooked":[138],"by":[139],"clustering":[142,150],"groups":[144],"together":[147],"perspectives.":[151],"next":[154],"considers":[157],"both":[158],"single-locus":[160],"effects":[161,164],"interaction":[163],"select":[166],"high-quality":[167],"disease":[168],"SNPs,":[170],"then":[172],"uses":[173,182],"Jaccard":[174],"similarity":[175],"get":[177],"Finally,":[180],"exhaustive":[183],"obtained":[187],"small":[188],"precisely":[192],"epsitatic":[194],"interactions.":[195],"Extensive":[196],"simulation":[197],"experiments":[198],"show":[199],"has":[202],"better":[204],"performance":[205],"detecting":[207],"than":[210],"state-of-the-art":[211],"solutions.":[212],"On":[213],"Wellcome":[215],"Trust":[216],"Case":[217],"Control":[218],"Consortium":[219],"(WTCCC)":[220],"dataset,":[221],"detects":[223],"several":[224],"epistatic":[226],"breast":[230],"cancer":[231],"(BC)":[232],"age-related":[234],"macular":[235],"degeneration":[236],"(AMD),":[237],"again":[239],"corroborate":[240],"effectiveness":[242],"EpiMC.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}