{"id":"https://openalex.org/W2014354049","doi":"https://doi.org/10.1109/globalsip.2014.7032354","title":"Optimal fault detection in stochastic Boolean regulatory networks","display_name":"Optimal fault detection in stochastic Boolean regulatory networks","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2014354049","doi":"https://doi.org/10.1109/globalsip.2014.7032354","mag":"2014354049"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5088329282","display_name":"Arghavan Bahadorinejad","orcid":null},"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":"Arghavan Bahadorinejad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, College Station, TX, USA","[Department of Electrical, and Computer Engineering, Texas A&M University, College Station, TX, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, College Station, TX, USA","institution_ids":[]},{"raw_affiliation_string":"[Department of Electrical, and Computer Engineering, Texas A&M University, College Station, TX, USA]","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 Braga-Neto","raw_affiliation_strings":["Department of Electrical and Computer Engineering, College Station, TX, USA","[Department of Electrical, and Computer Engineering, Texas A&M University, College Station, TX, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, College Station, TX, USA","institution_ids":[]},{"raw_affiliation_string":"[Department of Electrical, and Computer Engineering, Texas A&M University, College Station, TX, USA]","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088329282"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.2789,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58188941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1386","last_page":"1389"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9876999855041504,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boolean-network","display_name":"Boolean network","score":0.6891681551933289},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6505333781242371},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6183853149414062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831894278526306},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5049808621406555},{"id":"https://openalex.org/keywords/boolean-model","display_name":"Boolean model","score":0.5008361339569092},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.4747103750705719},{"id":"https://openalex.org/keywords/boolean-circuit","display_name":"Boolean circuit","score":0.4638846516609192},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4633275866508484},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.44797247648239136},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.44352322816848755},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4292256236076355},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.41465461254119873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40568968653678894},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.366674542427063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2762002944946289},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1539430022239685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14625146985054016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11726781725883484}],"concepts":[{"id":"https://openalex.org/C134444547","wikidata":"https://www.wikidata.org/wiki/Q585230","display_name":"Boolean network","level":3,"score":0.6891681551933289},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6505333781242371},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6183853149414062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831894278526306},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5049808621406555},{"id":"https://openalex.org/C67499762","wikidata":"https://www.wikidata.org/wiki/Q4943358","display_name":"Boolean model","level":2,"score":0.5008361339569092},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.4747103750705719},{"id":"https://openalex.org/C141796577","wikidata":"https://www.wikidata.org/wiki/Q837479","display_name":"Boolean circuit","level":3,"score":0.4638846516609192},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4633275866508484},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.44797247648239136},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.44352322816848755},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4292256236076355},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.41465461254119873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40568968653678894},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.366674542427063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2762002944946289},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1539430022239685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14625146985054016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11726781725883484},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2014.7032354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W304861154","https://openalex.org/W1941464190","https://openalex.org/W2010114834","https://openalex.org/W2049480816","https://openalex.org/W2053961182","https://openalex.org/W2058794142","https://openalex.org/W2067628637","https://openalex.org/W2107881637","https://openalex.org/W2108020239","https://openalex.org/W2114518254","https://openalex.org/W2130721915","https://openalex.org/W2132935366","https://openalex.org/W2140971281","https://openalex.org/W2142400903","https://openalex.org/W2530014580","https://openalex.org/W2543669550","https://openalex.org/W2799461614","https://openalex.org/W4242024146","https://openalex.org/W4245662196","https://openalex.org/W4300432631","https://openalex.org/W4388252848"],"related_works":["https://openalex.org/W1991822629","https://openalex.org/W2011175857","https://openalex.org/W2246807618","https://openalex.org/W2106622045","https://openalex.org/W2061512596","https://openalex.org/W3141532631","https://openalex.org/W2064457754","https://openalex.org/W2558644562","https://openalex.org/W2495550620","https://openalex.org/W2131164334"],"abstract_inverted_index":{"Boolean":[0,32,51,102,114],"networks":[1],"have":[2],"emerged":[3],"as":[4],"an":[5,25],"effective":[6],"model":[7,82,115],"of":[8,12,16,87,142],"the":[9,74,85,92,101,117,134,140,143,153],"dynamical":[10,52],"behavior":[11],"regulatory":[13],"circuits":[14,33],"consisting":[15],"bi-stable":[17],"components,":[18],"e.g.":[19],"genes":[20],"that":[21,133],"can":[22],"be":[23],"in":[24,49,97],"activated":[26],"or":[27],"suppressed":[28],"transcriptional":[29],"state.":[30],"Such":[31],"are":[34,38],"not":[35,68],"deterministic,":[36],"nor":[37],"they":[39],"directly":[40],"observable.":[41],"We":[42,106],"present":[43],"a":[44,62,79,109,113],"methodology":[45,60,135],"for":[46,116],"fault":[47,75,144,154],"detection":[48,81],"stochastic":[50],"systems":[53],"observed":[54,125],"though":[55],"noisy":[56,127],"continuous":[57,128],"measurements.":[58,129],"The":[59,130],"utilizes":[61],"single":[63],"time":[64,141],"series":[65],"and":[66],"does":[67],"require":[69],"any":[70,149],"prior":[71,150],"knowledge":[72,151],"about":[73,152],"model.":[76,155],"It":[77],"is":[78,100,136],"change":[80],"based":[83,90],"on":[84,91],"principle":[86],"uncorrelated":[88],"innovations":[89],"optimal":[93],"state":[94],"estimator,":[95],"which":[96],"this":[98],"case":[99],"Kalman":[103],"Filter":[104],"(BKF).":[105],"carry":[107],"out":[108],"numerical":[110],"simulations":[111],"using":[112],"p53-MDM2":[118],"negative":[119],"feedback":[120],"loop":[121],"with":[122,145],"stuck-at":[123],"faults,":[124],"through":[126],"results":[131],"show":[132],"able":[137],"to":[138],"detect":[139],"close":[146],"accuracy,":[147],"without":[148]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
