{"id":"https://openalex.org/W4324302652","doi":"https://doi.org/10.1093/bib/bbad096","title":"Evaluation of graphical models for multi-group metabolomics data","display_name":"Evaluation of graphical models for multi-group metabolomics data","publication_year":2023,"publication_date":"2023-03-15","ids":{"openalex":"https://openalex.org/W4324302652","doi":"https://doi.org/10.1093/bib/bbad096","pmid":"https://pubmed.ncbi.nlm.nih.gov/36920069"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbad096","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad096","pdf_url":"https://academic.oup.com/bib/article-pdf/24/3/bbad096/50410164/bbad096.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bib/article-pdf/24/3/bbad096/50410164/bbad096.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027410140","display_name":"Hang Zhao","orcid":"https://orcid.org/0000-0002-2269-6024"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zhao","raw_affiliation_strings":["School of Public Health, Southeast University , China"],"raw_orcid":"https://orcid.org/0000-0002-2269-6024","affiliations":[{"raw_affiliation_string":"School of Public Health, Southeast University , China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112901081","display_name":"Pinyuan Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136416","display_name":"Zhejiang Center for Disease Control and Prevention","ror":"https://ror.org/03f015z81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210136416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin-yuan Dai","raw_affiliation_strings":["Zhejiang Provincial Center for Disease Control and Prevention , Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Center for Disease Control and Prevention , Hangzhou, China","institution_ids":["https://openalex.org/I4210136416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705349","display_name":"Xiaojin Yu","orcid":"https://orcid.org/0000-0002-1952-2576"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-jin Yu","raw_affiliation_strings":["School of Public Health, Southeast University , China"],"raw_orcid":"https://orcid.org/0000-0002-1952-2576","affiliations":[{"raw_affiliation_string":"School of Public Health, Southeast University , China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017403306","display_name":"Jie-yu He","orcid":null},"institutions":[{"id":"https://openalex.org/I26080491","display_name":"Kunming Medical University","ror":"https://ror.org/038c3w259","country_code":"CN","type":"education","lineage":["https://openalex.org/I26080491"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie-yu He","raw_affiliation_strings":["Department of Epidemiology and Health Statistics, Kunming Medical University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Health Statistics, Kunming Medical University , China","institution_ids":["https://openalex.org/I26080491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037484052","display_name":"Chao Zhao","orcid":"https://orcid.org/0000-0003-1144-1621"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhao","raw_affiliation_strings":["School of Public Health, Yangzhou University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, Yangzhou University , China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037341631","display_name":"Lihong Yin","orcid":"https://orcid.org/0000-0001-9673-3193"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-hong Yin","raw_affiliation_strings":["School of Public Health, Southeast University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, Southeast University , China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100705349"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01897665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9990000128746033,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9990000128746033,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9927999973297119,"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":0.9843000173568726,"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/computer-science","display_name":"Computer science","score":0.6699352860450745},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.555931568145752},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5528817772865295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.546150803565979},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5075792074203491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2900157570838928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24572446942329407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6699352860450745},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.555931568145752},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5528817772865295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.546150803565979},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5075792074203491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2900157570838928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24572446942329407}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055432","descriptor_name":"Metabolomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055432","descriptor_name":"Metabolomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055432","descriptor_name":"Metabolomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbad096","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad096","pdf_url":"https://academic.oup.com/bib/article-pdf/24/3/bbad096/50410164/bbad096.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:36920069","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36920069","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":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1093/bib/bbad096","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad096","pdf_url":"https://academic.oup.com/bib/article-pdf/24/3/bbad096/50410164/bbad096.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7099999785423279,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2199499329","display_name":null,"funder_award_id":"82073516","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7449993733","display_name":null,"funder_award_id":"82260666","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4324302652.pdf","grobid_xml":"https://content.openalex.org/works/W4324302652.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2000042664","https://openalex.org/W2001161274","https://openalex.org/W2004902747","https://openalex.org/W2050465000","https://openalex.org/W2051264056","https://openalex.org/W2054683575","https://openalex.org/W2074329608","https://openalex.org/W2082907106","https://openalex.org/W2099978770","https://openalex.org/W2100270478","https://openalex.org/W2108156593","https://openalex.org/W2159585030","https://openalex.org/W2165009258","https://openalex.org/W2465782172","https://openalex.org/W2541187969","https://openalex.org/W2587034866","https://openalex.org/W2804621837","https://openalex.org/W2884652357","https://openalex.org/W2914349589","https://openalex.org/W2963819041","https://openalex.org/W3101022954","https://openalex.org/W3101226854","https://openalex.org/W3138837149","https://openalex.org/W4299878814","https://openalex.org/W4388323202"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W2109986081","https://openalex.org/W2390279801","https://openalex.org/W3093571331","https://openalex.org/W2358668433"],"abstract_inverted_index":{"Gaussian":[0],"graphical":[1,40,71],"model":[2],"is":[3,50],"a":[4],"strong":[5],"tool":[6],"for":[7,42,56,73,79,84],"identifying":[8],"interactions":[9],"from":[10,22,210],"metabolomics":[11,111,207],"data":[12,18,44,47,58,75,112,120,208],"based":[13],"on":[14,182],"conditional":[15],"correlation.":[16],"However,":[17],"may":[19,199],"be":[20],"collected":[21],"different":[23,36,69],"stages":[24,115,212],"or":[25,31],"subgroups":[26],"of":[27,39,67,82,92,124,185,213],"subjects":[28],"with":[29,154,221],"heterogeneity":[30],"hierarchical":[32,190],"structure.":[33],"There":[34],"are":[35],"integrating":[37,70],"strategies":[38],"models":[41,72],"multi-group":[43,74],"proposed":[45],"by":[46,114],"scientists.":[48],"It":[49],"challenging":[51],"to":[52,63,116,176],"select":[53],"the":[54,65,80,90,106,118,129,134,142,151,159,165,183,205],"methods":[55,94,107],"metabolism":[57],"analysis.":[59],"This":[60],"study":[61],"aimed":[62],"evaluate":[64],"performance":[66,91],"several":[68],"and":[76,139,148,193],"provide":[77],"support":[78],"choice":[81],"strategy":[83],"similar":[85],"characteristic":[86,137],"data.":[87],"We":[88,102],"compared":[89],"seven":[93],"in":[95,108,168,178,219,223],"estimating":[96],"graph":[97],"structures":[98],"through":[99],"simulation":[100,224],"study.":[101,225],"also":[103,163],"applied":[104],"all":[105,155,169],"breast":[109,214],"cancer":[110,215],"grouped":[113],"illustrate":[117],"real":[119,206],"application.":[121],"The":[122],"method":[123],"Shaddox":[125],"et":[126],"al.":[127],"achieved":[128],"highest":[130],"average":[131],"area":[132,140],"under":[133,141],"receiver":[135],"operating":[136],"curve":[138,144],"precision-recall":[143],"across":[145],"most":[146,166],"scenarios,":[147],"it":[149,162],"was":[150],"only":[152],"approach":[153,192],"indicators":[156],"ranked":[157],"at":[158],"top.":[160],"Nevertheless,":[161],"cost":[164],"time":[167],"settings.":[170],"Stochastic":[171],"search":[172],"structure":[173],"learning":[174],"tends":[175],"result":[177],"estimates":[179],"that":[180,222],"focus":[181],"precision":[184],"identified":[186],"edges,":[187],"while":[188],"BEAM,":[189],"Bayesian":[191],"birth-death":[194],"Markov":[195],"chain":[196],"Monte":[197],"Carlo":[198],"identify":[200],"more":[201],"potential":[202],"edges.":[203],"In":[204],"analysis":[209],"three":[211],"patients,":[216],"results":[217],"were":[218],"line":[220]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
