{"id":"https://openalex.org/W2171916645","doi":"https://doi.org/10.1186/1471-2105-15-151","title":"A formal concept analysis approach to consensus clustering of multi-experiment expression data","display_name":"A formal concept analysis approach to consensus clustering of multi-experiment expression data","publication_year":2014,"publication_date":"2014-05-19","ids":{"openalex":"https://openalex.org/W2171916645","doi":"https://doi.org/10.1186/1471-2105-15-151","mag":"2171916645","pmid":"https://pubmed.ncbi.nlm.nih.gov/24885407"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-15-151","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-151","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-151","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/counter/pdf/10.1186/1471-2105-15-151","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017008977","display_name":"Anna Hristoskova","orcid":"https://orcid.org/0000-0002-5012-7400"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Anna Hristoskova","raw_affiliation_strings":["Department of Information Technology, Ghent University - iMinds, Gaston Crommenlaan 8 (201), 9050 Ghent, Belgium. anna.hristoskova@intec.ugent.be","Department of Information Technology, Ghent University - iMinds, Gaston Crommenlaan 8 (201), 9050, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Ghent University - iMinds, Gaston Crommenlaan 8 (201), 9050 Ghent, Belgium. anna.hristoskova@intec.ugent.be","institution_ids":["https://openalex.org/I39327780"]},{"raw_affiliation_string":"Department of Information Technology, Ghent University - iMinds, Gaston Crommenlaan 8 (201), 9050, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011890993","display_name":"Veselka Boeva","orcid":"https://orcid.org/0000-0003-3128-191X"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Veselka Boeva","raw_affiliation_strings":["Department of Computer Systems and Technology, Technical University of Sofia-branch Plovdiv, Tsanko Dyustabanov 25, 4000, Plovdiv, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Systems and Technology, Technical University of Sofia-branch Plovdiv, Tsanko Dyustabanov 25, 4000, Plovdiv, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065889495","display_name":"Elena Tsiporkova","orcid":"https://orcid.org/0009-0003-7202-3471"},"institutions":[{"id":"https://openalex.org/I91993116","display_name":"Sirris","ror":"https://ror.org/01qr26m26","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I91993116"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Elena Tsiporkova","raw_affiliation_strings":["ICT & Software Engineering Group, Sirris, The Collective Center for the Belgian Technological Industry, Reyerslaan 80, 1030, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICT & Software Engineering Group, Sirris, The Collective Center for the Belgian Technological Industry, Reyerslaan 80, 1030, Brussels, Belgium","institution_ids":["https://openalex.org/I91993116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017008977"],"corresponding_institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.65,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.68423451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":"1","first_page":"151","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.8084999918937683,"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":0.8084999918937683,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.05889999866485596,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.04039999842643738,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5936334133148193},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.5595147609710693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5372718572616577},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.47496816515922546},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.45911118388175964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4462793171405792},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4133141040802002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30579209327697754},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.27222156524658203},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.23445045948028564},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21333590149879456},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.14798837900161743},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.11047923564910889},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.10134172439575195}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5936334133148193},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.5595147609710693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5372718572616577},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.47496816515922546},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.45911118388175964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4462793171405792},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4133141040802002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30579209327697754},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.27222156524658203},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.23445045948028564},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21333590149879456},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.14798837900161743},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.11047923564910889},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10134172439575195},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-15-151","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-151","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-151","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:24885407","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24885407","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:archive.ugent.be:5782436","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-5782436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISSN: 1471-2105","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:europepmc.org:3025411","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4033618","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-15-151","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-151","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-151","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":[],"funders":[{"id":"https://openalex.org/F4320322603","display_name":"Universiteit Gent","ror":"https://ror.org/00cv9y106"},{"id":"https://openalex.org/F4320335227","display_name":"Bijzonder Onderzoeksfonds UGent","ror":"https://ror.org/00cv9y106"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2171916645.pdf","grobid_xml":"https://content.openalex.org/works/W2171916645.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W99642967","https://openalex.org/W191638804","https://openalex.org/W370143576","https://openalex.org/W576725583","https://openalex.org/W1492289968","https://openalex.org/W1585002319","https://openalex.org/W1593205966","https://openalex.org/W1601616652","https://openalex.org/W1721137721","https://openalex.org/W1882445960","https://openalex.org/W1987144436","https://openalex.org/W1987971958","https://openalex.org/W1997411081","https://openalex.org/W2049633694","https://openalex.org/W2074310030","https://openalex.org/W2094479740","https://openalex.org/W2097612618","https://openalex.org/W2101418109","https://openalex.org/W2102236449","https://openalex.org/W2103108181","https://openalex.org/W2103835486","https://openalex.org/W2105362912","https://openalex.org/W2109363337","https://openalex.org/W2115346774","https://openalex.org/W2115990004","https://openalex.org/W2127218421","https://openalex.org/W2129066856","https://openalex.org/W2133098435","https://openalex.org/W2135881767","https://openalex.org/W2147246240","https://openalex.org/W2152155643","https://openalex.org/W2152195021","https://openalex.org/W2165299997","https://openalex.org/W2171030481","https://openalex.org/W2185559081","https://openalex.org/W2247248612","https://openalex.org/W2497501519","https://openalex.org/W2615110662","https://openalex.org/W2999729612","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2588528840","https://openalex.org/W2199594781","https://openalex.org/W2767663474","https://openalex.org/W2744974730","https://openalex.org/W2294414050","https://openalex.org/W4306311884","https://openalex.org/W4386076172","https://openalex.org/W2584267197","https://openalex.org/W2065883076","https://openalex.org/W2285903080"],"abstract_inverted_index":{"BACKGROUND:":[0],"Presently,":[1],"with":[2,163,298],"the":[3,13,56,59,93,107,110,115,119,141,202,211,217,228,243,293,334],"increasing":[4],"number":[5,52],"and":[6,31,42,55,117,143,190,204,271,275],"complexity":[7],"of":[8,15,33,53,58,95,113,145,160,247,295,337],"available":[9],"gene":[10,207,236,306],"expression":[11,237,307,338],"datasets,":[12],"combination":[14,294],"data":[16,88,203,238,320],"from":[17,89,149,201,239,254,304],"multiple":[18,34,82,305],"microarray":[19,151],"studies":[20,70],"addressing":[21],"a":[22,50,99,127,166,170,181,206,289,318],"similar":[23],"biological":[24,74,279],"question":[25],"is":[26,66,92,174,233,267,288,317,331],"gaining":[27],"importance.":[28],"The":[29,250,282,309],"analysis":[30,144],"integration":[32,321],"datasets":[35,116,154],"are":[36,47,63,76,155,187,224],"expected":[37],"to":[38,86,165,176,215,226,269,292,324],"yield":[39],"more":[40],"reliable":[41],"robust":[43,319],"results":[44,252,311],"since":[45],"they":[46],"based":[48],"on":[49,235],"larger":[51],"samples":[54],"effects":[57],"individual":[60],"study-specific":[61],"biases":[62],"diminished.":[64],"This":[65],"supported":[67],"by":[68,81,193],"recent":[69],"suggesting":[71],"that":[72,133,315,330],"important":[73,120],"signals":[75],"often":[77],"preserved":[78],"or":[79,101],"enhanced":[80],"experiments.":[83,212],"An":[84],"approach":[85,139,219,291],"combining":[87],"different":[90,263],"experiments":[91,162],"aggregation":[94],"their":[96],"clusterings":[97],"into":[98,158],"consensus":[100,130,171,221,285],"representative":[102,332],"clustering":[103,131,146,172,182,222,264,286,296,302,328],"solution":[104,183,329],"which":[105,196],"increases":[106],"confidence":[108],"in":[109,180],"common":[111],"features":[112],"all":[114,210],"reveals":[118],"differences":[121,274],"among":[122],"them.":[123],"RESULTS:":[124],"We":[125],"propose":[126],"novel":[128],"generic":[129],"technique":[132,287,322],"applies":[134],"Formal":[135],"Concept":[136],"Analysis":[137],"(FCA)":[138],"for":[140,300,333],"consolidation":[142],"solutions":[147,186,303],"derived":[148,253],"several":[150],"datasets.":[152],"These":[153],"initially":[156],"divided":[157],"groups":[159],"related":[161],"respect":[164],"predefined":[167],"criterion.":[168],"Subsequently,":[169],"algorithm":[173],"applied":[175],"each":[177],"group":[178],"resulting":[179],"per":[184],"group.These":[185],"pooled":[188],"together":[189],"further":[191],"analysed":[192],"employing":[194],"FCA":[195,229,251,266,299],"allows":[197],"extracting":[198],"valuable":[199],"insights":[200],"generating":[205],"partition":[208],"over":[209],"In":[213],"order":[214],"validate":[216],"FCA-enhanced":[218,284],"two":[220],"algorithms":[223,261,297],"adapted":[225],"incorporate":[227],"analysis.":[230],"Their":[231],"performance":[232],"evaluated":[234],"multi-experiment":[240],"study":[241],"examining":[242],"global":[244],"cell-cycle":[245],"control":[246],"fission":[248],"yeast.":[249],"both":[255,260],"methods":[256],"demonstrate":[257,314],"that,":[258],"although":[259],"optimize":[262],"characteristics,":[265],"able":[268,323],"overcome":[270],"diminish":[272],"these":[273],"preserve":[276],"some":[277],"relevant":[278],"signals.":[280],"CONCLUSIONS:":[281],"proposed":[283],"general":[290],"deriving":[301],"matrices.":[308,339],"experimental":[310],"presented":[312],"herein":[313],"it":[316],"produce":[325],"good":[326],"quality":[327],"whole":[335],"set":[336]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
