{"id":"https://openalex.org/W2588226927","doi":"https://doi.org/10.1109/cisp-bmei.2016.7853013","title":"Inference of transcriptional regulation using multi-objective optimization with Gaussian Process","display_name":"Inference of transcriptional regulation using multi-objective optimization with Gaussian Process","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588226927","doi":"https://doi.org/10.1109/cisp-bmei.2016.7853013","mag":"2588226927"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7853013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7853013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100375454","display_name":"Xinxin Zhang","orcid":"https://orcid.org/0000-0002-0598-6425"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinxin Zhang","raw_affiliation_strings":["Department of Automation and Information Engineering, Xi'an University of Technology, Xi'an"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Information Engineering, Xi'an University of Technology, Xi'an","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011738676","display_name":"Ruirui Ji","orcid":"https://orcid.org/0000-0001-6526-868X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruirui Ji","raw_affiliation_strings":["Department of Automation and Information Engineering, Xi'an University of Technology, Xi'an","Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing, Xi'an"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Information Engineering, Xi'an University of Technology, Xi'an","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing, Xi'an","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086685723","display_name":"Yingmin Yi","orcid":"https://orcid.org/0000-0003-1243-3295"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingmin Yi","raw_affiliation_strings":["Department of Automation and Information Engineering, Xi'an University of Technology, Xi'an","Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing, Xi'an"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Information Engineering, Xi'an University of Technology, Xi'an","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing, Xi'an","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100375454"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.3485,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70166307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1581","issue":null,"first_page":"1820","last_page":"1825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9894999861717224,"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":0.9419000148773193,"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/gaussian-process","display_name":"Gaussian process","score":0.6738438606262207},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6360136270523071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5921205878257751},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5357315540313721},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5186078548431396},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4901627004146576},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4548114836215973},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4399588406085968},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.43026214838027954},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41477546095848083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39498695731163025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3907920718193054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3728293776512146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3520383834838867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2621530294418335}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6738438606262207},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6360136270523071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5921205878257751},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5357315540313721},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5186078548431396},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4901627004146576},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4548114836215973},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4399588406085968},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.43026214838027954},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41477546095848083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39498695731163025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3907920718193054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3728293776512146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3520383834838867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2621530294418335},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7853013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7853013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W62387039","https://openalex.org/W1497256448","https://openalex.org/W1599969036","https://openalex.org/W2080913407","https://openalex.org/W2098626000","https://openalex.org/W2104911495","https://openalex.org/W2113889488","https://openalex.org/W2166303358","https://openalex.org/W2371132965","https://openalex.org/W2381456812","https://openalex.org/W2517806159","https://openalex.org/W6602510868","https://openalex.org/W6629610141"],"related_works":["https://openalex.org/W2384408398","https://openalex.org/W2375370983","https://openalex.org/W2369557298","https://openalex.org/W2545232906","https://openalex.org/W2011212036","https://openalex.org/W3044685708","https://openalex.org/W2065131986","https://openalex.org/W1545294102","https://openalex.org/W2127643120","https://openalex.org/W4229068138"],"abstract_inverted_index":{"For":[0],"transcriptional":[1,35,46],"kinetic":[2,85],"mechanism":[3],"research,":[4],"raising":[5],"the":[6,17,29,44,63,88,105,110,116],"accuracy":[7,111],"of":[8,51,112],"identifying":[9],"model":[10,34,89,117],"parameters":[11,86],"is":[12,40,81],"an":[13],"important":[14],"work.":[15],"Usually,":[16],"training":[18],"data":[19,73,99,102,119],"we":[20],"obtained":[21],"are":[22,60],"noisy":[23],"and":[24,70,74,90,100,114],"sparse.":[25],"This":[26],"paper":[27],"uses":[28],"ordinary":[30],"differential":[31],"equation":[32],"to":[33,42,68,83],"regulation.":[36],"Gaussian":[37,65],"prior":[38],"distribution":[39],"adopted":[41],"describe":[43],"unobserved":[45],"factors":[47],"activity.":[48],"The":[49],"approximation":[50],"gene":[52],"expression":[53],"profiles":[54],"together":[55],"with":[56],"their":[57,76],"time":[58],"derivatives":[59],"considered":[61],"during":[62],"inference.":[64],"Process":[66],"helps":[67],"smooth":[69],"denoise":[71],"experimental":[72],"get":[75],"derivatives.":[77],"Cultural":[78],"genetic":[79],"algorithm":[80],"utilized":[82],"optimize":[84],"in":[87,92],"hyper-parameters":[91],"kernel":[93],"function.":[94],"Experimental":[95],"results":[96],"on":[97],"simulated":[98],"real":[101],"show":[103],"that":[104],"proposed":[106],"method":[107],"can":[108],"improve":[109],"identification":[113],"make":[115],"fit":[118],"better.":[120]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}