{"id":"https://openalex.org/W2011109338","doi":"https://doi.org/10.1504/ijdmb.2010.030966","title":"Improved Bayesian Network inference using relaxed gene ordering","display_name":"Improved Bayesian Network inference using relaxed gene ordering","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2011109338","doi":"https://doi.org/10.1504/ijdmb.2010.030966","mag":"2011109338","pmid":"https://pubmed.ncbi.nlm.nih.gov/20376921"},"language":"en","primary_location":{"id":"doi:10.1504/ijdmb.2010.030966","doi":"https://doi.org/10.1504/ijdmb.2010.030966","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmb.2010.030966","pdf_url":null,"source":{"id":"https://openalex.org/S35771696","display_name":"International Journal of Data Mining and Bioinformatics","issn_l":"1748-5673","issn":["1748-5673","1748-5681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining and Bioinformatics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"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/A5009256505","display_name":"Dongxiao Zhu","orcid":"https://orcid.org/0000-0002-0225-7817","observed_orcids":["https://orcid.org/0000-0002-0225-7817"]},"institutions":[{"id":"https://openalex.org/I192396691","display_name":"LSU New Orleans","ror":"https://ror.org/034mtvk83","country_code":"US","type":"education","lineage":["https://openalex.org/I192396691"]},{"id":"https://openalex.org/I4210117366","display_name":"Children's Hospital of New Orleans","ror":"https://ror.org/02etexs15","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210117366"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongxiao Zhu","raw_affiliation_strings":["Department of Computer Science, University of New Orleans, New Orleans, LA 70148, USA. dzhu@cs.uno.edu","Department of Computer Science, University of New Orleans, New Orleans, LA 70148, USA","Research Institute for Children, Children's Hospital, New Orleans, LA 70118, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of New Orleans, New Orleans, LA 70148, USA. dzhu@cs.uno.edu","institution_ids":["https://openalex.org/I192396691"]},{"raw_affiliation_string":"Department of Computer Science, University of New Orleans, New Orleans, LA 70148, USA","institution_ids":["https://openalex.org/I192396691"]},{"raw_affiliation_string":"Research Institute for Children, Children's Hospital, New Orleans, LA 70118, USA","institution_ids":["https://openalex.org/I4210117366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344259","display_name":"Hua Li","orcid":"https://orcid.org/0000-0003-2153-2500","observed_orcids":["https://orcid.org/0000-0003-2153-2500"]},"institutions":[{"id":"https://openalex.org/I114131015","display_name":"Stowers Institute for Medical Research","ror":"https://ror.org/04bgfm609","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I114131015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Li","raw_affiliation_strings":["Bioinformatics Center, Stowers Institute for Medical Research, 1000 E. 50th St. Kansas City, MO 64110, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Center, Stowers Institute for Medical Research, 1000 E. 50th St. Kansas City, MO 64110, USA","institution_ids":["https://openalex.org/I114131015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.11610689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"4","issue":"1","first_page":"44","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.8101000189781189,"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":0.8101000189781189,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.1316000074148178,"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":0.04050000011920929,"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/bayesian-network-inference","display_name":"Bayesian network inference","score":0.7089999914169312},{"id":"https://openalex.org/keywords/bayesian-network-structure-learning","display_name":"Bayesian network structure learning","score":0.7200000286102295},{"id":"https://openalex.org/keywords/biological-constraints","display_name":"biological constraints","score":0.8370000123977661},{"id":"https://openalex.org/keywords/np-complete-problems","display_name":"NP-complete problems","score":0.5849999785423279},{"id":"https://openalex.org/keywords/heuristic-algorithms","display_name":"heuristic algorithms","score":0.9229999780654907},{"id":"https://openalex.org/keywords/computational-cost-reduction","display_name":"computational complexity reduction","score":0.7250000238418579},{"id":"https://openalex.org/keywords/saccharomyces-cerevisiae","display_name":"Saccharomyces cerevisiae","score":0.9449999928474426}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6974886059761047},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6369930505752563},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6257204413414001},{"id":"https://openalex.org/C2775905019","wikidata":"https://www.wikidata.org/wiki/Q192572","display_name":"In silico","level":3,"score":0.6178182363510132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6160724759101868},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5618156790733337},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.48867538571357727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48462018370628357},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.465667724609375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4170486629009247},{"id":"https://openalex.org/C3018449070","wikidata":"https://www.wikidata.org/wiki/Q828130","display_name":"Signalling pathways","level":3,"score":0.4125877022743225},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3582555055618286},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.27705371379852295},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.257114052772522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19816747307777405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14110922813415527},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08863964676856995},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D012441","descriptor_name":"Saccharomyces cerevisiae","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1504/ijdmb.2010.030966","doi":"https://doi.org/10.1504/ijdmb.2010.030966","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmb.2010.030966","pdf_url":null,"source":{"id":"https://openalex.org/S35771696","display_name":"International Journal of Data Mining and Bioinformatics","issn_l":"1748-5673","issn":["1748-5673","1748-5681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:20376921","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20376921","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,"listed_in":[],"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":"International journal of data mining and bioinformatics","raw_type":"Journal Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.640.9795","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.9795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.wayne.edu/dzhu/BayNet_IJDMB.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W189533795","https://openalex.org/W1498148216","https://openalex.org/W1595251712","https://openalex.org/W1668219064","https://openalex.org/W1769824028","https://openalex.org/W1956603911","https://openalex.org/W1979973563","https://openalex.org/W1983690667","https://openalex.org/W1986941321","https://openalex.org/W1986984690","https://openalex.org/W1991069455","https://openalex.org/W2008906462","https://openalex.org/W2013326913","https://openalex.org/W2040304693","https://openalex.org/W2060121266","https://openalex.org/W2064563811","https://openalex.org/W2077953882","https://openalex.org/W2087496905","https://openalex.org/W2090429499","https://openalex.org/W2097530046","https://openalex.org/W2098748720","https://openalex.org/W2100771810","https://openalex.org/W2106747102","https://openalex.org/W2107923541","https://openalex.org/W2113979998","https://openalex.org/W2125089994","https://openalex.org/W2132245233","https://openalex.org/W2136988691","https://openalex.org/W2139799336","https://openalex.org/W2142987346","https://openalex.org/W2143003942","https://openalex.org/W2143047627","https://openalex.org/W2146855196","https://openalex.org/W2151496998","https://openalex.org/W2154491873","https://openalex.org/W2157177321","https://openalex.org/W2158995702","https://openalex.org/W2163166770","https://openalex.org/W2167769381","https://openalex.org/W2181638332","https://openalex.org/W2183798833","https://openalex.org/W2342086659","https://openalex.org/W2404589543"],"related_works":["https://openalex.org/W2139131283","https://openalex.org/W2107089571","https://openalex.org/W4297922458","https://openalex.org/W4251630537","https://openalex.org/W2383823127","https://openalex.org/W2549704425","https://openalex.org/W7099011327","https://openalex.org/W2132347635","https://openalex.org/W2137707546","https://openalex.org/W2142807894"],"abstract_inverted_index":{"Bayesian":[0],"Networks":[1],"(BNs)":[2],"have":[3],"become":[4],"one":[5],"of":[6,11,23,88],"the":[7,21,63,76,86],"most":[8],"powerful":[9],"means":[10],"reconstructing":[12],"signalling":[13,36,95],"pathways":[14,37,96],"in":[15,44,80,91,97],"silico.":[16],"Excessive":[17],"computational":[18,64,78],"loads":[19],"limit":[20],"applications":[22],"BNs":[24],"to":[25,60],"learn":[26],"larger":[27],"sized":[28],"network":[29],"structures.":[30],"Recent":[31],"bioinformatics":[32],"research":[33],"found":[34],"that":[35,74],"are":[38],"likely":[39],"hierarchically":[40],"organised.":[41],"Genes":[42],"resident":[43],"hierarchical":[45],"layers":[46],"constitute":[47],"biological":[48],"constraint,":[49],"which":[50],"can":[51],"be":[52],"readily":[53],"used":[54],"by":[55],"BN":[56,70],"structural":[57,71],"learning":[58,72],"algorithms":[59],"substantially":[61],"reduce":[62],"load.":[65],"We":[66,84],"propose":[67],"a":[68,81],"constrained":[69],"algorithm":[73,90],"solves":[75],"NP-complete":[77],"problem":[79],"heuristic":[82],"manner.":[83],"demonstrate":[85],"utility":[87],"our":[89],"constructing":[92],"two":[93],"important":[94],"S.":[98],"cerevisiae.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}