{"id":"https://openalex.org/W2005338098","doi":"https://doi.org/10.1109/cdc.2011.6161417","title":"Model selection in stochastic chemical reaction networks using flow cytometry data","display_name":"Model selection in stochastic chemical reaction networks using flow cytometry data","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2005338098","doi":"https://doi.org/10.1109/cdc.2011.6161417","mag":"2005338098"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2011.6161417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2011.6161417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Conference on Decision and Control and European 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/A5032371546","display_name":"Gabriele Lillacci","orcid":"https://orcid.org/0000-0002-5162-1750"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gabriele Lillacci","raw_affiliation_strings":["Center for Control, Dynamical Systems and Computation, University of California, Santa Barbara, Santa Barbara, CA, USA","Center for Control, Dynamical Systems and Computation, University of California at Santa Barbara, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Control, Dynamical Systems and Computation, University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Center for Control, Dynamical Systems and Computation, University of California at Santa Barbara, USA#TAB#","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018485369","display_name":"Mustafa Khammash","orcid":"https://orcid.org/0000-0002-4855-9220"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mustafa Khammash","raw_affiliation_strings":["Center for Control, Dynamical Systems and Computation, University of California, Santa Barbara, Santa Barbara, CA, USA","Center for Control, Dynamical Systems and Computation, University of California at Santa Barbara, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Control, Dynamical Systems and Computation, University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Center for Control, Dynamical Systems and Computation, University of California at Santa Barbara, USA#TAB#","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032371546"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":0.27952385,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56084596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1680","last_page":"1685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9836999773979187,"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":0.975600004196167,"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/selection","display_name":"Selection (genetic algorithm)","score":0.762856125831604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053735256195068},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5814827084541321},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5598113536834717},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5141139626502991},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5018627643585205},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.4944875240325928},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.48236316442489624},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4775087237358093},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4381937086582184},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39021462202072144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38671594858169556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.368886262178421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32922255992889404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16941848397254944},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11025822162628174}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.762856125831604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053735256195068},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5814827084541321},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5598113536834717},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5141139626502991},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5018627643585205},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.4944875240325928},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.48236316442489624},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4775087237358093},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4381937086582184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39021462202072144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38671594858169556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.368886262178421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32922255992889404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16941848397254944},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11025822162628174},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2011.6161417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2011.6161417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Conference on Decision and Control and European Control Conference","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":17,"referenced_works":["https://openalex.org/W1533179050","https://openalex.org/W1645305843","https://openalex.org/W1988645907","https://openalex.org/W2021872116","https://openalex.org/W2025533349","https://openalex.org/W2042321087","https://openalex.org/W2044278781","https://openalex.org/W2076169690","https://openalex.org/W2077245462","https://openalex.org/W2126351705","https://openalex.org/W2129559232","https://openalex.org/W2152246075","https://openalex.org/W2156435365","https://openalex.org/W2169264416","https://openalex.org/W2171507368","https://openalex.org/W4300944962","https://openalex.org/W7066470421"],"related_works":["https://openalex.org/W1995427843","https://openalex.org/W2042280983","https://openalex.org/W2321888438","https://openalex.org/W2888652631","https://openalex.org/W2369445029","https://openalex.org/W2026456043","https://openalex.org/W4320063126","https://openalex.org/W2417662900","https://openalex.org/W1987284827","https://openalex.org/W1996323220"],"abstract_inverted_index":{"The":[0],"model":[1,8,35,89],"selection":[2,36,60,90],"problem,":[3],"that":[4,9],"is":[5,53],"picking":[6],"the":[7,71,80,88],"best":[10],"explains":[11],"an":[12,97],"experimental":[13],"data":[14],"set":[15],"from":[16,44,100],"a":[17,31,62,76],"list":[18],"of":[19,50,66,70,79],"candidates,":[20],"arises":[21],"frequently":[22],"when":[23],"studying":[24],"unknown":[25],"biological":[26],"processes.":[27],"Here,":[28],"we":[29,86,93],"propose":[30],"new":[32],"method":[33],"for":[34],"in":[37],"stochastic":[38,73],"chemical":[39],"reaction":[40],"networks":[41],"using":[42,61],"measurements":[43],"flow":[45],"cytometry.":[46],"A":[47],"distinctive":[48],"feature":[49],"our":[51,84],"approach":[52],"its":[54],"ability":[55],"to":[56],"perform":[57],"statistically":[58],"significant":[59],"very":[63],"small":[64],"number":[65],"Monte":[67],"Carlo":[68],"simulations":[69],"candidate":[72],"models.":[74],"After":[75],"comprehensive":[77],"review":[78],"theory":[81],"associated":[82],"with":[83],"procedure,":[85],"describe":[87],"algorithm":[91],"and":[92],"demonstrate":[94],"it":[95],"on":[96],"example":[98],"drawn":[99],"molecular":[101],"biology.":[102]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
