{"id":"https://openalex.org/W4253959116","doi":"https://doi.org/10.1109/csb.2004.1332522","title":"An algorithm for reconstruction of markov blankets in bayesian networks of gene expression datasets","display_name":"An algorithm for reconstruction of markov blankets in bayesian networks of gene expression datasets","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W4253959116","doi":"https://doi.org/10.1109/csb.2004.1332522"},"language":"en","primary_location":{"id":"doi:10.1109/csb.2004.1332522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csb.2004.1332522","pdf_url":null,"source":{"id":"https://openalex.org/S4363608884","display_name":"Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004.","issn_l":"1752-7791","issn":["1752-7791"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004.","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059591523","display_name":"C. Barbacioru","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Barbacioru","raw_affiliation_strings":["Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036379703","display_name":"D.J. Cowden","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.J. Cowden","raw_affiliation_strings":["Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016474643","display_name":"J. Saltz","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Saltz","raw_affiliation_strings":["Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31792385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"597","last_page":"598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.996999979019165,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9772999882698059,"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/markov-blanket","display_name":"Markov blanket","score":0.7600358128547668},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7333121299743652},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6209816932678223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6085391044616699},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.535342276096344},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.5344551801681519},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.5283323526382446},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4350120425224304},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.42386600375175476},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4212525486946106},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.41464537382125854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3012450039386749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27378255128860474},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.19709303975105286}],"concepts":[{"id":"https://openalex.org/C123867240","wikidata":"https://www.wikidata.org/wiki/Q3001792","display_name":"Markov blanket","level":5,"score":0.7600358128547668},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7333121299743652},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6209816932678223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6085391044616699},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.535342276096344},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.5344551801681519},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.5283323526382446},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4350120425224304},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.42386600375175476},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4212525486946106},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.41464537382125854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012450039386749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27378255128860474},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.19709303975105286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csb.2004.1332522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csb.2004.1332522","pdf_url":null,"source":{"id":"https://openalex.org/S4363608884","display_name":"Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004.","issn_l":"1752-7791","issn":["1752-7791"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2103453943","https://openalex.org/W2112821758","https://openalex.org/W2159080219","https://openalex.org/W4205381015","https://openalex.org/W6683608245"],"related_works":["https://openalex.org/W2761923836","https://openalex.org/W2766005066","https://openalex.org/W4300818674","https://openalex.org/W2788721134","https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W3207148653","https://openalex.org/W2994546694","https://openalex.org/W1715419791"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"an":[3],"efficient":[4],"algorithm,":[5,98],"of":[6,17,44,55,64,107],"polynomial":[7],"complexity":[8,49],"for":[9],"learning":[10],"Bayesian":[11],"belief":[12,32],"networks":[13],"over":[14],"a":[15,22,31],"dataset":[16,23],"gene":[18],"expression":[19],"levels.":[20],"Given":[21],"that":[24],"is":[25,50],"large":[26],"enough,":[27],"the":[28,36,41,53,56,62],"algorithm":[29],"generates":[30],"network":[33],"close":[34],"to":[35,69,76,89],"underlying":[37],"model":[38],"by":[39],"recovering":[40],"Markov":[42],"blanket":[43],"every":[45],"node.":[46],"The":[47],"time":[48,74],"dependent":[51],"on":[52,61,103],"connectivity":[54],"generating":[57],"graph":[58],"and":[59,66,84],"not":[60],"size":[63],"it,":[65],"therefore":[67],"yields":[68],"exponential":[70],"savings":[71],"in":[72,87,92],"computational":[73],"relative":[75],"some":[77],"previously":[78],"known":[79],"algorithms.":[80],"We":[81],"use":[82],"bootstrap":[83],"permutation":[85],"techniques":[86],"order":[88],"measure":[90],"confidence":[91],"our":[93],"finding.":[94],"To":[95],"evaluate":[96],"this":[97],"we":[99],"present":[100],"experimental":[101],"results":[102],"S.cerevisiae":[104],"cell-cycle":[105],"measurements":[106],"Spettman":[108],"et":[109],"al.":[110],"(1998).":[111]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}