{"id":"https://openalex.org/W2156228191","doi":"https://doi.org/10.1109/cdc.2009.5399570","title":"Bayesian network approach to understand regulation of biological processes in cyanobacteria","display_name":"Bayesian network approach to understand regulation of biological processes in cyanobacteria","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2156228191","doi":"https://doi.org/10.1109/cdc.2009.5399570","mag":"2156228191"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2009.5399570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2009.5399570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference","raw_type":"proceedings-article"},"type":"article","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/A5030834029","display_name":"Thanura Elvitigala","orcid":"https://orcid.org/0009-0008-7390-8921"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thanura R. Elvitigala","raw_affiliation_strings":["Department of Electrical and Systems Engineering, Washington University of Saint Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, Washington University of Saint Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089479281","display_name":"Abhay K. Singh","orcid":"https://orcid.org/0000-0001-8399-7974"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhay K. Singh","raw_affiliation_strings":["Department of Biology, Washington University of Saint Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biology, Washington University of Saint Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089441880","display_name":"Himadri B. Pakrasi","orcid":"https://orcid.org/0000-0001-8240-2123"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Himadri B. Pakrasi","raw_affiliation_strings":["Department of Biology, Washington University of Saint Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biology, Washington University of Saint Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067851724","display_name":"Bijoy K. Ghosh","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bijoy K. Ghosh","raw_affiliation_strings":["Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030834029"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":0.4516,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75557614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":null,"first_page":"3739","last_page":"3744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9962000250816345,"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":0.9962000250816345,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9592000246047974,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.958299994468689,"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":0.7090171575546265},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6541651487350464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5982815027236938},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.5533046722412109},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5299170017242432},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.522804856300354},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5204229950904846},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.475990891456604},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.4755670428276062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3842715620994568},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.12673386931419373},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11288133263587952},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.07349780201911926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090171575546265},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6541651487350464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5982815027236938},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.5533046722412109},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5299170017242432},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.522804856300354},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5204229950904846},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.475990891456604},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.4755670428276062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3842715620994568},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.12673386931419373},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11288133263587952},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.07349780201911926},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2009.5399570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2009.5399570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.591.9738","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.591.9738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sysbio.wustl.edu/pakrasi/Publications/Elvitigala_CDC_2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6899999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309650","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W619172442","https://openalex.org/W1517993545","https://openalex.org/W1755360231","https://openalex.org/W1969133767","https://openalex.org/W1991123854","https://openalex.org/W1995787671","https://openalex.org/W2020541351","https://openalex.org/W2076753758","https://openalex.org/W2105056018","https://openalex.org/W2113979998","https://openalex.org/W2120263847","https://openalex.org/W2123060905","https://openalex.org/W2133111499","https://openalex.org/W2140000393","https://openalex.org/W2163166770","https://openalex.org/W2166481425","https://openalex.org/W2167155713","https://openalex.org/W2170112109","https://openalex.org/W2611370172","https://openalex.org/W2979006918","https://openalex.org/W4255375128","https://openalex.org/W4256617328","https://openalex.org/W4285719527","https://openalex.org/W6768650569"],"related_works":["https://openalex.org/W2544242547","https://openalex.org/W2119218276","https://openalex.org/W2369018153","https://openalex.org/W2530648058","https://openalex.org/W2386937658","https://openalex.org/W2124007391","https://openalex.org/W2578973671","https://openalex.org/W2349909726","https://openalex.org/W1965576512","https://openalex.org/W2215058820"],"abstract_inverted_index":{"Bayesian":[0,41,93],"networks":[1,166],"have":[2],"extensively":[3],"been":[4],"used":[5,126],"in":[6,155,170],"numerous":[7],"fields":[8],"including":[9],"artificial":[10],"intelligence,":[11],"decision":[12],"theory":[13],"and":[14,21,95,134],"control.":[15],"Its":[16],"ability":[17],"to":[18,29,44,53,65,112,127],"utilize":[19],"noisy":[20],"missing":[22],"data":[23],"makes":[24],"it":[25],"a":[26,92,110],"good":[27],"candidate":[28],"study":[30,45],"biological":[31,67],"systems.":[32],"In":[33],"this":[34],"paper":[35],"we":[36,160],"propose":[37],"the":[38,89,114,117,131,135,138,152,156,175,180],"use":[39],"of":[40,48,91,116,130,137,165],"network":[42,94,101,124,139],"approach":[43],"cellular":[46,176],"response":[47],"cyanobacteria.":[49],"We":[50,81,108,145],"discuss":[51,83,109,161],"how":[52,162],"combine":[54],"individual":[55],"gene":[56],"expressions,":[57],"obtained":[58],"from":[59],"microarrays":[60],"generated":[61],"using":[62],"different":[63,120],"platforms,":[64],"get":[66],"process":[68],"level":[69,99],"behaviors.":[70],"Biological":[71],"processes":[72],"carry":[73],"more":[74],"information":[75],"towards":[76],"understanding":[77],"overall":[78],"cell":[79],"behavior.":[80],"then":[82],"several":[84],"approaches":[85],"available":[86],"for":[87,102],"identifying":[88],"structure":[90],"derive":[96],"corresponding":[97],"system":[98],"regulatory":[100],"cyanobacterium,":[103],"Synechocystis":[104],"sp.":[105],"PCC":[106],"6803.":[107],"method":[111],"quantify":[113],"strengths":[115],"associations":[118],"between":[119],"processes.":[121],"The":[122],"resultant":[123],"is":[125],"simulate":[128],"some":[129],"experimental":[132],"conditions":[133,142],"responses":[136],"under":[140],"those":[141],"are":[143,183],"inferred.":[144],"show":[146],"that":[147,179],"these":[148,163],"inferences":[149],"agree":[150],"with":[151],"observations":[153],"made":[154],"original":[157],"experiments.":[158],"Finally,":[159],"type":[164],"could":[167],"be":[168],"helpful":[169],"making":[171],"decisions":[172],"on":[173],"controlling":[174],"activities":[177],"so":[178],"desired":[181],"behaviors":[182],"achieved.":[184]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
