{"id":"https://openalex.org/W2023045360","doi":"https://doi.org/10.1142/s0219720014500188","title":"Comparative analysis of false discovery rate methods in constructing metabolic association networks","display_name":"Comparative analysis of false discovery rate methods in constructing metabolic association networks","publication_year":2014,"publication_date":"2014-07-10","ids":{"openalex":"https://openalex.org/W2023045360","doi":"https://doi.org/10.1142/s0219720014500188","mag":"2023045360","pmid":"https://pubmed.ncbi.nlm.nih.gov/25152043"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720014500188","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720014500188","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4144070","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001634494","display_name":"Imhoi Koo","orcid":"https://orcid.org/0000-0002-5816-0627"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Imhoi Koo","raw_affiliation_strings":["Department of Chemistry, University of Louisville, Louisville, Kentucky 40292, USA","Department of Chemistry, University of Louisville, Louisville, Kentucky 40292 (USA)"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, University of Louisville, Louisville, Kentucky 40292, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Department of Chemistry, University of Louisville, Louisville, Kentucky 40292 (USA)","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031989562","display_name":"Sen Yao","orcid":"https://orcid.org/0000-0001-9566-0156"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sen Yao","raw_affiliation_strings":["Department of Chemistry, University of Louisville, Louisville, Kentucky 40292, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, University of Louisville, Louisville, Kentucky 40292, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087818296","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-3878-9196"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["Department of Chemistry, University of Louisville, Louisville, Kentucky 40292, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, University of Louisville, Louisville, Kentucky 40292, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100649756","display_name":"Seongho Kim","orcid":"https://orcid.org/0000-0002-9575-8847"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]},{"id":"https://openalex.org/I4210090317","display_name":"The Barbara Ann Karmanos Cancer Institute","ror":"https://ror.org/00ee40h97","country_code":"US","type":"facility","lineage":["https://openalex.org/I2800590384","https://openalex.org/I4210090317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seongho Kim","raw_affiliation_strings":["Biostatistics Core, Karmanos Cancer Institute, Department of Oncology, Wayne State University, Detroit, Michigan 48201, USA"],"affiliations":[{"raw_affiliation_string":"Biostatistics Core, Karmanos Cancer Institute, Department of Oncology, Wayne State University, Detroit, Michigan 48201, USA","institution_ids":["https://openalex.org/I4210090317","https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001634494"],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":1.4243,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81373872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"04","first_page":"1450018","last_page":"1450018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.994700014591217,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9868000149726868,"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/false-discovery-rate","display_name":"False discovery rate","score":0.8699973225593567},{"id":"https://openalex.org/keywords/partial-correlation","display_name":"Partial correlation","score":0.6923690438270569},{"id":"https://openalex.org/keywords/metabolic-network","display_name":"Metabolic network","score":0.5706979632377625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5274995565414429},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.46547290682792664},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.4642333388328552},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.45669227838516235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4482295513153076},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4202849566936493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41994109749794006},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4138687551021576},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3802030384540558},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3447219431400299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32377880811691284},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.1976170837879181},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10166260600090027},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09027773141860962}],"concepts":[{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.8699973225593567},{"id":"https://openalex.org/C64708745","wikidata":"https://www.wikidata.org/wiki/Q2998010","display_name":"Partial correlation","level":3,"score":0.6923690438270569},{"id":"https://openalex.org/C101810790","wikidata":"https://www.wikidata.org/wiki/Q2263094","display_name":"Metabolic network","level":2,"score":0.5706979632377625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5274995565414429},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.46547290682792664},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.4642333388328552},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.45669227838516235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4482295513153076},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4202849566936493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41994109749794006},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4138687551021576},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3802030384540558},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3447219431400299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32377880811691284},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.1976170837879181},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10166260600090027},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09027773141860962},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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":"D011897","descriptor_name":"Random Allocation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011897","descriptor_name":"Random Allocation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011897","descriptor_name":"Random Allocation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"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":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D053858","descriptor_name":"Metabolic Networks and Pathways","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053858","descriptor_name":"Metabolic Networks and Pathways","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053858","descriptor_name":"Metabolic Networks and Pathways","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1142/s0219720014500188","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720014500188","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:25152043","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25152043","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":"Journal of bioinformatics and computational biology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4144070","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4144070","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Bioinform Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:4144070","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4144070","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Bioinform Comput Biol","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309272","display_name":"Wayne State University","ror":"https://ror.org/01070mq45"},{"id":"https://openalex.org/F4320317266","display_name":"Barbara Ann Karmanos Cancer Institute","ror":"https://ror.org/00ee40h97"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1596515083","https://openalex.org/W1824047490","https://openalex.org/W1964895626","https://openalex.org/W1965138864","https://openalex.org/W1986765826","https://openalex.org/W1989921625","https://openalex.org/W1994687138","https://openalex.org/W2007723454","https://openalex.org/W2008620264","https://openalex.org/W2025572017","https://openalex.org/W2036363967","https://openalex.org/W2036714085","https://openalex.org/W2068892642","https://openalex.org/W2074089196","https://openalex.org/W2080376556","https://openalex.org/W2104960492","https://openalex.org/W2105381419","https://openalex.org/W2105518356","https://openalex.org/W2110065044","https://openalex.org/W2115012618","https://openalex.org/W2116319049","https://openalex.org/W2117441184","https://openalex.org/W2121044470","https://openalex.org/W2125905177","https://openalex.org/W2131114385","https://openalex.org/W2132555912","https://openalex.org/W2143079975","https://openalex.org/W2144885342","https://openalex.org/W2146273335","https://openalex.org/W2157611962","https://openalex.org/W2157795344","https://openalex.org/W2159482845","https://openalex.org/W2167826316","https://openalex.org/W2168215278","https://openalex.org/W2171537806","https://openalex.org/W2963598015","https://openalex.org/W3103786587","https://openalex.org/W3104296680","https://openalex.org/W4294107304","https://openalex.org/W4294216483","https://openalex.org/W4312512934","https://openalex.org/W6604917327"],"related_works":["https://openalex.org/W2104346261","https://openalex.org/W2023045360","https://openalex.org/W3136809763","https://openalex.org/W3037707416","https://openalex.org/W2981882567","https://openalex.org/W2963726222","https://openalex.org/W1989373272","https://openalex.org/W2416161358","https://openalex.org/W3211329625","https://openalex.org/W832244386"],"abstract_inverted_index":{"Gaussian":[0],"graphical":[1],"model":[2],"(GGM)-based":[3],"method,":[4],"a":[5],"key":[6],"approach":[7],"to":[8,16,45,52,87,133,150],"reverse":[9],"engineering":[10],"biological":[11],"networks,":[12,149],"uses":[13],"partial":[14,32],"correlation":[15,33],"measure":[17],"conditional":[18],"dependence":[19],"between":[20],"two":[21,143],"variables":[22],"by":[23],"controlling":[24],"the":[25,37,47,54,89,92,100,104,109,168,180,195],"contribution":[26],"from":[27],"other":[28],"variables.":[29,58],"After":[30],"estimating":[31],"coefficients,":[34],"one":[35],"of":[36,91,194],"most":[38],"critical":[39],"processes":[40],"in":[41,186],"network":[42,80,93,96,138,144,155,187,196],"construction":[43],"is":[44,84,198],"control":[46],"false":[48],"discovery":[49],"rate":[50,172],"(FDR)":[51],"assess":[53],"significant":[55,192],"associations":[56],"among":[57],"Various":[59],"FDR":[60,75,102,117,201],"methods":[61],"have":[62],"been":[63],"proposed":[64],"mainly":[65],"for":[66,79],"biomarker":[67],"discovery,":[68],"but":[69],"it":[70],"still":[71],"remains":[72],"unclear":[73],"which":[74],"method":[76],"performs":[77],"better":[78],"construction.":[81,97,139,156,188],"Furthermore,":[82],"there":[83],"no":[85,191],"study":[86],"see":[88],"effect":[90,193],"structure":[94,197],"on":[95,137,154,200],"We":[98,140],"selected":[99],"six":[101],"methods,":[103],"linear":[105,111],"step-up":[106,112,120,130],"procedure":[107,113,121,125,131],"(BH95),":[108],"adaptive":[110,129],"(BH00),":[114],"Efron's":[115],"local":[116],"(LFDR),":[118],"Benjamini-Yekutieli's":[119],"(BY01),":[122],"Storey's":[123],"q-value":[124],"(Storey01),":[126],"and":[127,147,160],"Storey-Taylor-Siegmund's":[128],"(STS04),":[132],"evaluate":[134],"their":[135,152],"performances":[136],"further":[141],"considered":[142],"structures,":[145],"random":[146],"scale-free":[148],"investigate":[151],"influence":[153],"Both":[157],"simulated":[158],"data":[159,163],"real":[161],"experimental":[162],"suggest":[164],"that":[165],"STS04":[166],"provides":[167],"highest":[169,181],"true":[170],"positive":[171,182],"(TPR)":[173],"or":[174],"F1":[175],"score,":[176],"while":[177],"BY01":[178],"has":[179],"predictive":[183],"value":[184],"(PPV)":[185],"In":[189],"addition,":[190],"found":[199],"methods.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
