{"id":"https://openalex.org/W1790098605","doi":"https://doi.org/10.1186/1471-2105-14-s10-s3","title":"A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thaliana","display_name":"A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thaliana","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1790098605","doi":"https://doi.org/10.1186/1471-2105-14-s10-s3","mag":"1790098605","pmid":"https://pubmed.ncbi.nlm.nih.gov/24267177"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-14-s10-s3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s10-s3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-S10-S3","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/10.1186/1471-2105-14-S10-S3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038116036","display_name":"Catherine F. Higham","orcid":"https://orcid.org/0000-0002-2580-4115"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Catherine F Higham","raw_affiliation_strings":["School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland, UK","School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, Scotland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland, UK","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, Scotland, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080836461","display_name":"Dirk Husmeier","orcid":"https://orcid.org/0000-0003-1673-7413"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dirk Husmeier","raw_affiliation_strings":["School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland, UK","School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, Scotland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland, UK","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"School of Mathematics and Statistics, College of Science and Engineering, University of Glasgow, Glasgow, Scotland, UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038116036"],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.1376,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.5228277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"S10","first_page":"S3","last_page":"S3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9887999892234802,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9887999892234802,"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/T10303","display_name":"Photosynthetic Processes and Mechanisms","score":0.9580000042915344,"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/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9369000196456909,"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/circadian-clock","display_name":"Circadian clock","score":0.6442298889160156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5660035610198975},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5584321022033691},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5216556191444397},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5102138519287109},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.47521620988845825},{"id":"https://openalex.org/keywords/arabidopsis-thaliana","display_name":"Arabidopsis thaliana","score":0.4705263376235962},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4611855149269104},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.44960054755210876},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.44938650727272034},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43997785449028015},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.39816075563430786},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3776930868625641},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28689315915107727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25136011838912964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24413222074508667},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.18584701418876648},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18358004093170166},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.15040519833564758}],"concepts":[{"id":"https://openalex.org/C38606739","wikidata":"https://www.wikidata.org/wiki/Q5121352","display_name":"Circadian clock","level":3,"score":0.6442298889160156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5660035610198975},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5584321022033691},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5216556191444397},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5102138519287109},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.47521620988845825},{"id":"https://openalex.org/C2775988993","wikidata":"https://www.wikidata.org/wiki/Q158695","display_name":"Arabidopsis thaliana","level":4,"score":0.4705263376235962},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4611855149269104},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.44960054755210876},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.44938650727272034},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43997785449028015},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.39816075563430786},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3776930868625641},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28689315915107727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25136011838912964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24413222074508667},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.18584701418876648},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18358004093170166},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.15040519833564758},{"id":"https://openalex.org/C143065580","wikidata":"https://www.wikidata.org/wiki/Q3285695","display_name":"Mutant","level":3,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011401","descriptor_name":"Promoter Regions, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011401","descriptor_name":"Promoter Regions, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011401","descriptor_name":"Promoter Regions, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011499","descriptor_name":"Protein Processing, Post-Translational","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011499","descriptor_name":"Protein Processing, Post-Translational","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011499","descriptor_name":"Protein Processing, Post-Translational","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012097","descriptor_name":"Repressor Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012097","descriptor_name":"Repressor Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012097","descriptor_name":"Repressor Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012097","descriptor_name":"Repressor Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012097","descriptor_name":"Repressor Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012097","descriptor_name":"Repressor Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D014157","descriptor_name":"Transcription Factors","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D017360","descriptor_name":"Arabidopsis","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D018506","descriptor_name":"Gene Expression Regulation, Plant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018506","descriptor_name":"Gene Expression Regulation, Plant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018506","descriptor_name":"Gene Expression Regulation, Plant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D029681","descriptor_name":"Arabidopsis Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D057906","descriptor_name":"Circadian Clocks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D057906","descriptor_name":"Circadian Clocks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D057906","descriptor_name":"Circadian Clocks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-14-s10-s3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s10-s3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-S10-S3","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:24267177","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24267177","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:eprints.gla.ac.uk:85475","is_oa":false,"landing_page_url":"https://eprints.gla.ac.uk/view/author/3393.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Articles"},{"id":"pmh:oai:europepmc.org:2744219","is_oa":true,"landing_page_url":"http://europepmc.org/articles/PMC3750527","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":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:3750527","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3750527","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-14-s10-s3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-s10-s3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-S10-S3","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":"No poverty","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1790098605.pdf","grobid_xml":"https://content.openalex.org/works/W1790098605.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W2007897769","https://openalex.org/W2015950073","https://openalex.org/W2048792111","https://openalex.org/W2071544114","https://openalex.org/W2093223772","https://openalex.org/W2115343689","https://openalex.org/W2135007181","https://openalex.org/W2149656802","https://openalex.org/W2156444576","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W3093571331","https://openalex.org/W1525770572","https://openalex.org/W1485888979","https://openalex.org/W3172507773","https://openalex.org/W2806680938","https://openalex.org/W4302285290"],"abstract_inverted_index":{"The":[0,46,60],"circadian":[1,32],"clock":[2,33,86,93],"is":[3,90,161],"an":[4,123],"important":[5],"molecular":[6,50],"mechanism":[7],"that":[8],"enables":[9],"many":[10],"organisms":[11],"to":[12,16,36,66,80,95,178],"anticipate":[13],"and":[14,41,54,56,73,106,132,150,168,172],"adapt":[15],"environmental":[17],"change.":[18],"Pokhilko":[19],"et":[20,130],"al.":[21,131],"recently":[22],"built":[23],"a":[24,115,135],"deterministic":[25],"ODE":[26],"mathematical":[27],"model":[28,47,76,94,107],"of":[29,43,84,119,154],"the":[30,38,44,74,82,85,92,112,142,146,152],"plant":[31],"in":[34,99,134,163,182,188],"order":[35],"understand":[37],"behaviour,":[39],"mechanisms":[40],"properties":[42],"system.":[45],"comprises":[48],"30":[49],"species":[51],"(genes,":[52],"mRNAs":[53],"proteins)":[55],"over":[57],"100":[58],"parameters.":[59],"parameters":[61],"have":[62],"been":[63,78],"fitted":[64],"heuristically":[65],"available":[67],"gene":[68],"expression":[69],"time":[70],"series":[71],"data":[72],"calibrated":[75],"has":[77],"shown":[79],"reproduce":[81],"behaviour":[83],"components.":[87],"Ongoing":[88],"work":[89,110],"extending":[91],"cover":[96],"downstream":[97],"effects,":[98],"particular":[100],"metabolism,":[101],"necessitating":[102],"further":[103],"parameter":[104,120,148],"estimation":[105],"selection.":[108],"This":[109],"investigates":[111],"challenges":[113],"facing":[114],"full":[116],"Bayesian":[117,159],"treatment":[118],"estimation.":[121],"Using":[122],"efficient":[124],"adaptive":[125],"MCMC":[126],"proposed":[127,147],"by":[128],"Haario":[129],"working":[133],"high":[136,165],"performance":[137],"computing":[138],"setting,":[139],"we":[140],"quantify":[141],"posterior":[143],"distribution":[144],"around":[145],"values":[149],"explore":[151],"basin":[153],"attraction.":[155],"We":[156],"investigate":[157],"if":[158],"inference":[160],"feasible":[162],"this":[164],"dimensional":[166],"setting":[167],"thoroughly":[169],"assess":[170],"convergence":[171,181],"mixing":[173,187],"with":[174],"different":[175],"statistical":[176],"diagnostics,":[177],"prevent":[179],"apparent":[180],"some":[183],"domains":[184],"masking":[185],"poor":[186],"others.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}