{"id":"https://openalex.org/W2109127150","doi":"https://doi.org/10.1142/s0219720013420018","title":"DYNAMIC BAYESIAN CLUSTERING","display_name":"DYNAMIC BAYESIAN CLUSTERING","publication_year":2013,"publication_date":"2013-08-06","ids":{"openalex":"https://openalex.org/W2109127150","doi":"https://doi.org/10.1142/s0219720013420018","mag":"2109127150","pmid":"https://pubmed.ncbi.nlm.nih.gov/24131050"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720013420018","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720013420018","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004256796","display_name":"Anna Fowler","orcid":"https://orcid.org/0000-0003-1793-0047"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"ANNA FOWLER","raw_affiliation_strings":["Department of Mathematics, Imperial College London, 180 Queens Gate, London SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Imperial College London, 180 Queens Gate, London SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013606443","display_name":"Vilas Menon","orcid":"https://orcid.org/0000-0002-4096-8601"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]},{"id":"https://openalex.org/I1314596251","display_name":"Allen Institute for Brain Science","ror":"https://ror.org/00dcv1019","country_code":"US","type":"facility","lineage":["https://openalex.org/I1314596251","https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"VILAS MENON","raw_affiliation_strings":["Allen Institute for Brain Science, Seattle, WA 98103, USA","Allen Institute for Brain Science, Seattle, WA, 98103, USA"],"affiliations":[{"raw_affiliation_string":"Allen Institute for Brain Science, Seattle, WA 98103, USA","institution_ids":["https://openalex.org/I4210140341","https://openalex.org/I1314596251"]},{"raw_affiliation_string":"Allen Institute for Brain Science, Seattle, WA, 98103, USA","institution_ids":["https://openalex.org/I4210140341","https://openalex.org/I1314596251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053225749","display_name":"Nicholas A. Heard","orcid":"https://orcid.org/0000-0002-8767-0810"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"NICHOLAS A. HEARD","raw_affiliation_strings":["Department of Mathematics, Imperial College London, 180 Queens Gate, London SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Imperial College London, 180 Queens Gate, London SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004256796"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.1462,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56823508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":"05","first_page":"1342001","last_page":"1342001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9986000061035156,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9986000061035156,"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":0.9869999885559082,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9714999794960022,"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/merge","display_name":"Merge (version control)","score":0.7208703756332397},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7029615640640259},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5570491552352905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5094831585884094},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47679877281188965},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.4572470188140869},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.41133347153663635},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.37280553579330444},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3454441726207733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31437402963638306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24536055326461792},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.07455599308013916}],"concepts":[{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.7208703756332397},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7029615640640259},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5570491552352905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5094831585884094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47679877281188965},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.4572470188140869},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.41133347153663635},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.37280553579330444},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3454441726207733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31437402963638306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24536055326461792},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.07455599308013916}],"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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","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":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000254","qualifier_name":"growth & development","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000254","qualifier_name":"growth & development","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000254","qualifier_name":"growth & development","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D002453","descriptor_name":"Cell Cycle","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D002453","descriptor_name":"Cell Cycle","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D002453","descriptor_name":"Cell Cycle","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018507","descriptor_name":"Gene Expression Regulation, Developmental","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018507","descriptor_name":"Gene Expression Regulation, Developmental","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018507","descriptor_name":"Gene Expression Regulation, Developmental","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219720013420018","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720013420018","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:24131050","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24131050","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1493217831","https://openalex.org/W1969289662","https://openalex.org/W1973249296","https://openalex.org/W2023416945","https://openalex.org/W2037400115","https://openalex.org/W2060063481","https://openalex.org/W2092870907","https://openalex.org/W2103453943","https://openalex.org/W2106706098","https://openalex.org/W2121194706","https://openalex.org/W2137596615","https://openalex.org/W2151808499","https://openalex.org/W2158776921","https://openalex.org/W2159578516","https://openalex.org/W2293546752","https://openalex.org/W4235169531"],"related_works":["https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2486541857","https://openalex.org/W2382112581","https://openalex.org/W3124036233","https://openalex.org/W2108840191","https://openalex.org/W2759366996","https://openalex.org/W2354081742","https://openalex.org/W2372661603","https://openalex.org/W2061193177"],"abstract_inverted_index":{"Clusters":[0],"of":[1,20,70,98],"time":[2],"series":[3],"data":[4,105],"may":[5,91,108],"change":[6],"location":[7],"and":[8,51,75,96],"memberships":[9,57],"over":[10,53],"time;":[11],"in":[12,66,103],"gene":[13],"expression":[14],"data,":[15,87],"this":[16,38],"occurs":[17],"as":[18],"groups":[19],"genes":[21,95],"or":[22,28,72],"samples":[23],"respond":[24],"differently":[25],"to":[26,36,58],"stimuli":[27],"experimental":[29],"conditions":[30],"at":[31],"different":[32],"times.":[33],"In":[34,84],"order":[35],"uncover":[37],"underlying":[39],"temporal":[40],"structure,":[41],"we":[42],"consider":[43],"dynamic":[44],"clusters":[45],"with":[46],"time-dependent":[47,62,89],"parameters":[48],"which":[49],"split":[50],"merge":[52],"time,":[54],"enabling":[55],"cluster":[56],"change.":[59],"These":[60],"interesting":[61],"structures":[63],"are":[64],"useful":[65],"understanding":[67],"the":[68,99],"development":[69],"organisms":[71],"complex":[73],"organs,":[74],"could":[76],"not":[77],"be":[78],"identified":[79],"using":[80],"traditional":[81],"clustering":[82],"methods.":[83],"cell":[85,100],"cycle":[86],"these":[88],"structure":[90],"provide":[92],"links":[93],"between":[94],"stages":[97],"cycle,":[101],"whilst":[102],"developmental":[104,111],"sets":[106],"they":[107],"highlight":[109],"key":[110],"transitions.":[112]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
