{"id":"https://openalex.org/W3157898446","doi":"https://doi.org/10.1186/s12859-021-03998-9","title":"A new Bayesian piecewise linear regression model for dynamic network reconstruction","display_name":"A new Bayesian piecewise linear regression model for dynamic network reconstruction","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3157898446","doi":"https://doi.org/10.1186/s12859-021-03998-9","mag":"3157898446","pmid":"https://pubmed.ncbi.nlm.nih.gov/33902443"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-021-03998-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-03998-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-03998-9","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/counter/pdf/10.1186/s12859-021-03998-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080571228","display_name":"Mahdi Shafiee Kamalabad","orcid":"https://orcid.org/0000-0003-4153-9806"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mahdi Shafiee Kamalabad","raw_affiliation_strings":["Department of Methodology and Statistics, Tilburg School of Social and Behavioral Sciences, Tilburg University, Prof. Cobbenhagenlaan 225, 5037 DB, Tilburg, The Netherlands","Jheronimus Academy of Data Science, Sint Janssingel 92, 5211 DA, 's-Hertogenbosch, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Methodology and Statistics, Tilburg School of Social and Behavioral Sciences, Tilburg University, Prof. Cobbenhagenlaan 225, 5037 DB, Tilburg, The Netherlands","institution_ids":["https://openalex.org/I193700539"]},{"raw_affiliation_string":"Jheronimus Academy of Data Science, Sint Janssingel 92, 5211 DA, 's-Hertogenbosch, The Netherlands","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068721139","display_name":"Marco Grzegorczyk","orcid":"https://orcid.org/0000-0002-2604-9270"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Marco Grzegorczyk","raw_affiliation_strings":["Bernoulli Institute, Groningen University, Nijenborgh 9, 9747 AG, Groningen, The Netherlands. m.a.gzegorczyk@rug.nl","Bernoulli Institute, Groningen University, Nijenborgh 9, 9747 AG, Groningen, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-2604-9270","affiliations":[{"raw_affiliation_string":"Bernoulli Institute, Groningen University, Nijenborgh 9, 9747 AG, Groningen, The Netherlands. m.a.gzegorczyk@rug.nl","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"Bernoulli Institute, Groningen University, Nijenborgh 9, 9747 AG, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068721139"],"corresponding_institution_ids":["https://openalex.org/I169381384"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.6653,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65454644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"S2","first_page":"196","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.7835999727249146,"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":0.7835999727249146,"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/T10885","display_name":"Gene expression and cancer classification","score":0.07079999893903732,"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/T10136","display_name":"Statistical Methods and Inference","score":0.03310000151395798,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537024974822998},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5712357759475708},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5264701843261719},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5100212693214417},{"id":"https://openalex.org/keywords/segmented-regression","display_name":"Segmented regression","score":0.4763129949569702},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4710429012775421},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46888017654418945},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.4534360468387604},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.446196585893631},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4425409734249115},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4378354847431183},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.42105287313461304},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4187837243080139},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3982153832912445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3939668536186218},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3827870190143585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31027930974960327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25924429297447205},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.13862740993499756},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13336551189422607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537024974822998},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5712357759475708},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5264701843261719},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5100212693214417},{"id":"https://openalex.org/C35519122","wikidata":"https://www.wikidata.org/wiki/Q3775699","display_name":"Segmented regression","level":4,"score":0.4763129949569702},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4710429012775421},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46888017654418945},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.4534360468387604},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.446196585893631},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4425409734249115},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4378354847431183},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.42105287313461304},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4187837243080139},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3982153832912445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3939668536186218},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3827870190143585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31027930974960327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25924429297447205},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.13862740993499756},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13336551189422607},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":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":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","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":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":8,"locations":[{"id":"doi:10.1186/s12859-021-03998-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-03998-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-03998-9","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:33902443","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33902443","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:pure.rug.nl:openaire_cris_publications/4b8c3b47-d552-44fb-bb61-c87c4a318d4f","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/4b8c3b47-d552-44fb-bb61-c87c4a318d4f","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Shafiee Kamalabad, M & Grzegorczyk, M 2021, 'A new Bayesian piecewise linear regression model for dynamic network reconstruction', Bmc Bioinformatics, vol. 22, 196. https://doi.org/10.1186/s12859-021-03998-9","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8074473","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8074473","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"},{"id":"pmh:oai:doaj.org/article:fc292833adc8453492ab8993a9d6ef65","is_oa":true,"landing_page_url":"https://doaj.org/article/fc292833adc8453492ab8993a9d6ef65","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 22, Iss S2, Pp 1-24 (2021)","raw_type":"article"},{"id":"pmh:oai:pure.rug.nl:openaire/4b8c3b47-d552-44fb-bb61-c87c4a318d4f","is_oa":true,"landing_page_url":"https://hdl.handle.net/11370/4b8c3b47-d552-44fb-bb61-c87c4a318d4f","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"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":"Shafiee Kamalabad, M & Grzegorczyk, M 2021, 'A new Bayesian piecewise linear regression model for dynamic network reconstruction', Bmc Bioinformatics, vol. 22, 196. https://doi.org/10.1186/s12859-021-03998-9","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/417898","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/417898","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, 22, 1. NLM (Medline)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/419223","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/419223","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, 22, 1. NLM (Medline)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s12859-021-03998-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-021-03998-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-021-03998-9","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":[{"id":"https://metadata.un.org/sdg/17","score":0.49000000953674316,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157898446.pdf","grobid_xml":"https://content.openalex.org/works/W3157898446.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W2011863452","https://openalex.org/W2045656233","https://openalex.org/W2072695752","https://openalex.org/W2073307618","https://openalex.org/W2101122984","https://openalex.org/W2106898243","https://openalex.org/W2106927126","https://openalex.org/W2113273949","https://openalex.org/W2124288003","https://openalex.org/W2126551563","https://openalex.org/W2129672766","https://openalex.org/W2140688829","https://openalex.org/W2143707047","https://openalex.org/W2570295517","https://openalex.org/W2769550393","https://openalex.org/W2800551203","https://openalex.org/W2900341503","https://openalex.org/W2905299564","https://openalex.org/W2972287781","https://openalex.org/W4212863985","https://openalex.org/W4232383088","https://openalex.org/W6662203318"],"related_works":["https://openalex.org/W2152095709","https://openalex.org/W1983360901","https://openalex.org/W2530012321","https://openalex.org/W2897220320","https://openalex.org/W4244066359","https://openalex.org/W4241356345","https://openalex.org/W3085119636","https://openalex.org/W4249841288","https://openalex.org/W4233185464","https://openalex.org/W3105711781"],"abstract_inverted_index":{"BACKGROUND:":[0],"Linear":[1],"regression":[2],"models":[3],"are":[4,41],"important":[5],"tools":[6],"for":[7,19,70,103],"learning":[8],"regulatory":[9,21],"networks":[10],"from":[11,174],"gene":[12],"expression":[13],"time":[14,26,58,61,106],"series.":[15],"A":[16],"conventional":[17],"assumption":[18],"non-homogeneous":[20],"processes":[22],"on":[23],"a":[24,74,97,142],"short":[25],"scale":[27],"is":[28,45,110,128,165],"that":[29,55,101,123],"the":[30,38,49,57,67,78,89,116,124,131,134,154,157,169,175],"network":[31,39,50],"structure":[32,51],"stays":[33],"constant":[34],"across":[35],"time,":[36],"while":[37,73],"parameters":[40,68,79],"time-dependent.":[42],"The":[43,120,149],"objective":[44],"then":[46],"to":[47,83,86,112,130,141,167],"learn":[48],"along":[52],"with":[53],"changepoints":[54],"divide":[56],"series":[59],"into":[60],"segments.":[62],"An":[63],"uncoupled":[64,114,132,155],"model":[65,76,100,127,152,159],"learns":[66],"separately":[69],"each":[71,104],"segment,":[72],"coupled":[75,111,135,146,158],"enforces":[77],"of":[80,88],"any":[81],"segment":[82,107],"stay":[84],"similar":[85],"those":[87],"previous":[90,117],"segment.":[91,118],"In":[92],"this":[93],"paper,":[94],"we":[95],"propose":[96],"new":[98,125],"consensus":[99,126],"infers":[102],"individual":[105],"whether":[108],"it":[109,164],"(or":[113],"from)":[115],"RESULTS:":[119],"results":[121],"show":[122],"superior":[129,140],"and":[133,156,163],"model,":[136],"as":[137,139,160],"well":[138],"recently":[143],"proposed":[144,151],"generalized":[145],"model.":[147],"CONCLUSIONS:":[148],"newly":[150],"has":[153],"limiting":[161],"cases,":[162],"able":[166],"infer":[168],"best":[170],"trade-off":[171],"between":[172],"them":[173],"data.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
