{"id":"https://openalex.org/W2802441085","doi":"https://doi.org/10.1109/tcbb.2018.2830357","title":"Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning","display_name":"Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning","publication_year":2018,"publication_date":"2018-04-26","ids":{"openalex":"https://openalex.org/W2802441085","doi":"https://doi.org/10.1109/tcbb.2018.2830357","mag":"2802441085","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993697"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2018.2830357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2018.2830357","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5017741575","display_name":"Mahdi Imani","orcid":"https://orcid.org/0000-0001-9570-9909"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahdi Imani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026990034","display_name":"Ulisses Braga-Neto","orcid":"https://orcid.org/0000-0002-1210-2173"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulisses M. Braga-Neto","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017741575"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":3.3349,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.93328941,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"4","first_page":"1250","last_page":"1261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.9925000071525574,"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/T10878","display_name":"CRISPR and Genetic Engineering","score":0.9617999792098999,"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":0.6209936141967773},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.6003924608230591},{"id":"https://openalex.org/keywords/boolean-network","display_name":"Boolean network","score":0.580707848072052},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.48899829387664795},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.48723068833351135},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4568865895271301},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.4558486044406891},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.45146915316581726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4197571277618408},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.41499030590057373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38235020637512207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27261096239089966},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.13076594471931458},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10380399227142334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6209936141967773},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.6003924608230591},{"id":"https://openalex.org/C134444547","wikidata":"https://www.wikidata.org/wiki/Q585230","display_name":"Boolean network","level":3,"score":0.580707848072052},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.48899829387664795},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.48723068833351135},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4568865895271301},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.4558486044406891},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.45146915316581726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4197571277618408},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.41499030590057373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38235020637512207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27261096239089966},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.13076594471931458},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10380399227142334},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000071818","descriptor_name":"Wnt-5a Protein","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D000071818","descriptor_name":"Wnt-5a Protein","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D000071818","descriptor_name":"Wnt-5a Protein","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008545","descriptor_name":"Melanoma","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008545","descriptor_name":"Melanoma","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008545","descriptor_name":"Melanoma","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015972","descriptor_name":"Gene Expression Regulation, Neoplastic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015972","descriptor_name":"Gene Expression Regulation, Neoplastic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015972","descriptor_name":"Gene Expression Regulation, Neoplastic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016159","descriptor_name":"Tumor Suppressor Protein p53","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016159","descriptor_name":"Tumor Suppressor Protein p53","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016159","descriptor_name":"Tumor Suppressor Protein p53","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D051736","descriptor_name":"Proto-Oncogene Proteins c-mdm2","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D051736","descriptor_name":"Proto-Oncogene Proteins c-mdm2","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D051736","descriptor_name":"Proto-Oncogene Proteins c-mdm2","qualifier_ui":"Q000378","qualifier_name":"metabolism","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":2,"locations":[{"id":"doi:10.1109/tcbb.2018.2830357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2018.2830357","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:29993697","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993697","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":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2027485610","display_name":null,"funder_award_id":"CCF-1718924","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W51833465","https://openalex.org/W89551800","https://openalex.org/W270103414","https://openalex.org/W1587601876","https://openalex.org/W1591675293","https://openalex.org/W1651215666","https://openalex.org/W1967233669","https://openalex.org/W1971224531","https://openalex.org/W1992570579","https://openalex.org/W2023186669","https://openalex.org/W2049480816","https://openalex.org/W2058794142","https://openalex.org/W2061562262","https://openalex.org/W2077350721","https://openalex.org/W2078460342","https://openalex.org/W2082982706","https://openalex.org/W2086150890","https://openalex.org/W2098432798","https://openalex.org/W2098774185","https://openalex.org/W2100169396","https://openalex.org/W2107281049","https://openalex.org/W2110503722","https://openalex.org/W2111123076","https://openalex.org/W2114518254","https://openalex.org/W2121863487","https://openalex.org/W2130721915","https://openalex.org/W2132935366","https://openalex.org/W2135896045","https://openalex.org/W2136559804","https://openalex.org/W2141239733","https://openalex.org/W2143549867","https://openalex.org/W2154431984","https://openalex.org/W2156163138","https://openalex.org/W2158096909","https://openalex.org/W2160904474","https://openalex.org/W2165247488","https://openalex.org/W2166106382","https://openalex.org/W2175370850","https://openalex.org/W2292227541","https://openalex.org/W2292828258","https://openalex.org/W2492996488","https://openalex.org/W2527751063","https://openalex.org/W2543669550","https://openalex.org/W2569862645","https://openalex.org/W2592482446","https://openalex.org/W2593147488","https://openalex.org/W2611370172","https://openalex.org/W2631613821","https://openalex.org/W2735499110","https://openalex.org/W2739161389","https://openalex.org/W2766807258","https://openalex.org/W2770822254","https://openalex.org/W2774435077","https://openalex.org/W2782098019","https://openalex.org/W2789760262","https://openalex.org/W2796091538","https://openalex.org/W2798747463","https://openalex.org/W2798752073","https://openalex.org/W2805132384","https://openalex.org/W2810396785","https://openalex.org/W2886852925","https://openalex.org/W2950989964","https://openalex.org/W4214717370","https://openalex.org/W4233622718","https://openalex.org/W6603643435","https://openalex.org/W6635261211","https://openalex.org/W6671346601","https://openalex.org/W6674884181","https://openalex.org/W6677631742"],"related_works":["https://openalex.org/W2349909726","https://openalex.org/W4319083788","https://openalex.org/W4385957992","https://openalex.org/W2770822254","https://openalex.org/W4206669594","https://openalex.org/W2128085946","https://openalex.org/W2794960257","https://openalex.org/W4378771262","https://openalex.org/W2032906738","https://openalex.org/W2085116222"],"abstract_inverted_index":{"Control":[0],"of":[1,24,32,67,105,135,152,159,190,198],"gene":[2,8],"regulatory":[3],"networks":[4],"(GRNs)":[5],"to":[6,13,41,84,170],"shift":[7],"expression":[9,69],"from":[10,71],"undesirable":[11,192,200],"states":[12],"desirable":[14],"ones":[15],"has":[16],"received":[17],"much":[18],"attention":[19],"in":[20,89,110],"recent":[21],"years.":[22],"Most":[23],"the":[25,30,43,55,86,91,96,103,128,140,147,153,160,188,191,196,199,205],"existing":[26],"methods":[27],"assume":[28],"that":[29],"cost":[31,45,98,155,189],"intervention":[33],"at":[34],"each":[35],"state":[36],"and":[37,75,107,138,179,194],"time":[38,65],"point,":[39],"referred":[40],"as":[42],"immediate":[44,97,154],"function,":[46],"is":[47,100,123,143,163,202],"fully":[48],"known.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"employ":[54],"Partially-Observed":[56],"Boolean":[57,73,118,136,177,185],"Dynamical":[58],"System":[59],"(POBDS)":[60],"signal":[61],"model":[62],"for":[63,125,150],"a":[64,72,77,133,167,174,180],"sequence":[66,104,134],"noisy":[68],"measurement":[70],"GRN":[74,172],"develop":[76],"Bayesian":[78],"Inverse":[79],"Reinforcement":[80],"Learning":[81],"(BIRL)":[82],"approach":[83],"address":[85],"realistic":[87],"case":[88],"which":[90],"only":[92],"available":[93,129],"knowledge":[94],"regarding":[95],"function":[99],"provided":[101],"by":[102,114,165],"measurements":[106],"interventions":[108],"recorded":[109],"an":[111,115],"experimental":[112],"setting":[113],"expert.":[116],"The":[117,157],"Kalman":[119],"Smoother":[120],"(BKS)":[121],"algorithm":[122,149],"used":[124],"optimally":[126],"mapping":[127],"gene-expression":[130],"data":[131],"into":[132],"states,":[137,193],"then":[139],"BIRL":[141],"method":[142],"efficiently":[144],"combined":[145],"with":[146],"Q-learning":[148],"quantification":[151],"function.":[156],"performance":[158],"proposed":[161,206],"methodology":[162],"investigated":[164],"applying":[166],"state-feedback":[168],"controller":[169],"two":[171],"models:":[173],"melanoma":[175],"WNT5A":[176],"network":[178],"p53-MDM2":[181],"negative":[182],"feedback":[183],"loop":[184],"network,":[186],"when":[187],"thus":[195],"identity":[197],"genes,":[201],"learned":[203],"using":[204],"methodology.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}