{"id":"https://openalex.org/W2417388301","doi":"https://doi.org/10.1186/s12859-016-1039-0","title":"Learning mixed graphical models with separate sparsity parameters and stability-based model selection","display_name":"Learning mixed graphical models with separate sparsity parameters and stability-based model selection","publication_year":2016,"publication_date":"2016-06-06","ids":{"openalex":"https://openalex.org/W2417388301","doi":"https://doi.org/10.1186/s12859-016-1039-0","mag":"2417388301","pmid":"https://pubmed.ncbi.nlm.nih.gov/27294886"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-016-1039-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1039-0","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1039-0","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/s12859-016-1039-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057728222","display_name":"Andrew J. Sedgewick","orcid":"https://orcid.org/0000-0001-7729-1756"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrew J. Sedgewick","raw_affiliation_strings":["Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. ajs206@pitt.edu","Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA. ajs206@pitt.edu","Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. ajs206@pitt.edu","institution_ids":[]},{"raw_affiliation_string":"Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA. ajs206@pitt.edu","institution_ids":[]},{"raw_affiliation_string":"Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067108423","display_name":"Ivy Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivy Shi","raw_affiliation_strings":["Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083377509","display_name":"Rory Donovan-Maiye","orcid":"https://orcid.org/0000-0001-8080-9771"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rory M. Donovan","raw_affiliation_strings":["Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA","Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139","https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042618575","display_name":"Panayiotis V. Benos","orcid":"https://orcid.org/0000-0003-3172-3132"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panayiotis V. Benos","raw_affiliation_strings":["Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA","Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139","https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057728222"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":10.1612,"has_fulltext":true,"cited_by_count":96,"citation_normalized_percentile":{"value":0.9811013,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"17","issue":"S5","first_page":"175","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.21610000729560852,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.21610000729560852,"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/T10136","display_name":"Statistical Methods and Inference","score":0.13439999520778656,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.11999999731779099,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7112481594085693},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6598898768424988},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6103441119194031},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6097983121871948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6057828664779663},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4616694748401642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4465915858745575},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4463290274143219},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.41787245869636536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41671252250671387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3964051604270935}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7112481594085693},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6598898768424988},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6103441119194031},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6097983121871948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6057828664779663},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4616694748401642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4465915858745575},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4463290274143219},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.41787245869636536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41671252250671387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3964051604270935},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"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":"D001499","descriptor_name":"Bayes Theorem","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008171","descriptor_name":"Lung Diseases","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-016-1039-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1039-0","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1039-0","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:27294886","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27294886","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:d-scholarship.pitt.edu:28661","is_oa":false,"landing_page_url":"https://d-scholarship.pitt.edu/28661/4/licence.txt","pdf_url":null,"source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:europepmc.org:3872227","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4905606","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/s12859-016-1039-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-016-1039-0","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1039-0","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2417388301.pdf","grobid_xml":"https://content.openalex.org/works/W2417388301.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W28766783","https://openalex.org/W206906224","https://openalex.org/W1490161904","https://openalex.org/W1981276685","https://openalex.org/W1995691260","https://openalex.org/W1999060084","https://openalex.org/W2010824638","https://openalex.org/W2038374320","https://openalex.org/W2048324994","https://openalex.org/W2058815839","https://openalex.org/W2068934160","https://openalex.org/W2079947444","https://openalex.org/W2094945089","https://openalex.org/W2096489060","https://openalex.org/W2109553965","https://openalex.org/W2117004913","https://openalex.org/W2121270008","https://openalex.org/W2121273346","https://openalex.org/W2124181495","https://openalex.org/W2125156589","https://openalex.org/W2129293291","https://openalex.org/W2130426543","https://openalex.org/W2132555912","https://openalex.org/W2137892504","https://openalex.org/W2151708044","https://openalex.org/W2160639837","https://openalex.org/W2161642932","https://openalex.org/W2163702333","https://openalex.org/W2165928777","https://openalex.org/W2168175751","https://openalex.org/W2171304795","https://openalex.org/W2181735378","https://openalex.org/W2320998042","https://openalex.org/W2596585349","https://openalex.org/W3026721701","https://openalex.org/W3098834468","https://openalex.org/W4231553787"],"related_works":["https://openalex.org/W2380784125","https://openalex.org/W2001490496","https://openalex.org/W2510961579","https://openalex.org/W2182544397","https://openalex.org/W2810025138","https://openalex.org/W1997711767","https://openalex.org/W2344475471","https://openalex.org/W128985311","https://openalex.org/W3083599310","https://openalex.org/W2765894738"],"abstract_inverted_index":{"BACKGROUND:":[0],"Mixed":[1,17],"graphical":[2,6],"models":[3,7,189],"(MGMs)":[4],"are":[5,20,280,289,358],"learned":[8,249],"over":[9,38],"a":[10,28,35,154,203,362],"combination":[11],"of":[12,27,84,89,140,170,181,211,257,297,309,339,351,373],"continuous":[13,298],"and":[14,51,75,87,95,108,123,197,236,247,267,299,305,334,354,369],"discrete":[15,300],"variables.":[16,41,286],"variable":[18,177],"types":[19,139],"common":[21],"in":[22,209,302],"biomedical":[23,306,355],"datasets.":[24,307],"MGMs":[25,90,101,186,288,357],"consist":[26],"parameterized":[29],"joint":[30,53],"probability":[31,54],"density,":[32],"which":[33],"implies":[34],"network":[36,43,319],"structure":[37,44],"these":[39,149,283],"heterogeneous":[40],"The":[42],"reveals":[45],"direct":[46],"associations":[47],"between":[48,254,295],"the":[49,52,64,82,104,212,220,241,248,255,348],"variables":[50,141,301],"density":[55],"allows":[56],"one":[57],"to":[58,91,117,175,219,234,282,291,360],"ask":[59],"arbitrary":[60],"probabilistic":[61],"questions":[62],"on":[63],"data.":[65],"This":[66],"information":[67],"can":[68],"be":[69],"used":[70,110],"for":[71,111,135,317,327,365],"feature":[72],"selection,":[73],"classification":[74],"other":[76,226,343],"important":[77],"tasks.":[78],"RESULTS:":[79],"We":[80,127,230],"studied":[81],"properties":[83],"MGM":[85,250],"learning":[86],"applications":[88],"high-dimensional":[92],"data":[93,239],"(biological":[94],"simulated).":[96],"Our":[97,271],"results":[98],"show":[99,129],"that":[100,130,206,279],"reliably":[102],"uncover":[103],"underlying":[105],"graph":[106],"structure,":[107],"when":[109],"classification,":[112],"their":[113],"performance":[114],"is":[115,167,207,315],"comparable":[116],"popular":[118],"discriminative":[119],"methods":[120],"(lasso":[121],"regression":[122],"support":[124],"vector":[125],"machines).":[126],"also":[128,273],"imposing":[131],"separate":[132],"sparsity":[133,150,213,310,331],"penalties":[134,311],"edges":[136],"connecting":[137],"different":[138],"significantly":[142],"improves":[143],"edge":[144,182,313,320,340],"recovery":[145],"performance.":[146],"To":[147],"choose":[148],"parameters,":[151],"we":[152,201],"propose":[153],"new":[155],"efficient":[156],"model":[157,227,272,328,344],"selection":[158,228,329,345],"method,":[159,173],"named":[160],"Stable":[161],"Edge-specific":[162],"Penalty":[163],"Selection":[164],"(StEPS).":[165],"StEPS":[166,184],"an":[168,171,371],"expansion":[169],"earlier":[172],"StARS,":[174],"mixed":[176],"types.":[178],"In":[179,199],"terms":[180,338],"recovery,":[183],"selected":[185,190],"outperform":[187],"those":[188],"using":[191],"standard":[192],"techniques,":[193],"including":[194],"AIC,":[195],"BIC":[196],"cross-validation.":[198],"addition,":[200],"use":[202],"heuristic":[204],"search":[205,215,223],"linear":[208],"size":[210],"value":[214],"space":[216],"as":[217],"opposed":[218],"cubic":[221],"grid":[222],"required":[224],"by":[225,312],"methods.":[229,346],"applied":[231],"our":[232,323],"method":[233,326],"clinical":[235,285,353],"mRNA":[237,277],"expression":[238],"from":[240],"Lung":[242],"Genomics":[243],"Research":[244],"Consortium":[245],"(LGRC)":[246],"correctly":[251],"recovered":[252],"connections":[253],"diagnosis":[256],"obstructive":[258],"or":[259],"interstitial":[260],"lung":[261],"disease,":[262],"two":[263],"diagnostic":[264],"breathing":[265],"tests,":[266],"cigarette":[268],"smoking":[269],"history.":[270],"suggested":[274],"biologically":[275],"relevant":[276],"markers":[278],"linked":[281],"three":[284],"CONCLUSIONS:":[287],"able":[290],"accurately":[292,336],"recover":[293],"dependencies":[294],"sets":[296],"both":[303],"simulated":[304],"Separation":[308],"type":[314],"essential":[316],"accurate":[318],"recovery.":[321],"Furthermore,":[322],"stability":[324],"based":[325],"determines":[330],"parameters":[332],"faster":[333],"more":[335],"(in":[337],"recovery)":[341],"than":[342],"With":[347],"ongoing":[349],"availability":[350],"comprehensive":[352],"datasets,":[356],"expected":[359],"become":[361],"valuable":[363],"tool":[364],"investigating":[366],"disease":[367],"mechanisms":[368],"answering":[370],"array":[372],"critical":[374],"healthcare":[375],"questions.":[376]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}