{"id":"https://openalex.org/W2029592162","doi":"https://doi.org/10.1109/gensips.2012.6507725","title":"A new phenotypically constrained control policy in boolean networks based on basins of attraction","display_name":"A new phenotypically constrained control policy in boolean networks based on basins of attraction","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2029592162","doi":"https://doi.org/10.1109/gensips.2012.6507725","mag":"2029592162"},"language":"en","primary_location":{"id":"doi:10.1109/gensips.2012.6507725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2012.6507725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","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/A5073946580","display_name":"Xiaoning Qian","orcid":"https://orcid.org/0000-0002-4347-2476"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaoning Qian","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","Dept. of Computer Science & Engineering, University of South Florida, Tampa, FL 33620"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Dept. of Computer Science & Engineering, University of South Florida, Tampa, FL 33620","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5073946580"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07949665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"54","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":1.0,"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":1.0,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9940000176429749,"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":0.9760000109672546,"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/attractor","display_name":"Attractor","score":0.6104176044464111},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5523062348365784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5297528505325317},{"id":"https://openalex.org/keywords/boolean-network","display_name":"Boolean network","score":0.48820334672927856},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4529135227203369},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42472514510154724},{"id":"https://openalex.org/keywords/attraction","display_name":"Attraction","score":0.416428804397583},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3445560932159424},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.31565582752227783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3116479814052582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24012702703475952},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16157150268554688}],"concepts":[{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.6104176044464111},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5523062348365784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297528505325317},{"id":"https://openalex.org/C134444547","wikidata":"https://www.wikidata.org/wiki/Q585230","display_name":"Boolean network","level":3,"score":0.48820334672927856},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4529135227203369},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42472514510154724},{"id":"https://openalex.org/C2778364177","wikidata":"https://www.wikidata.org/wiki/Q2247133","display_name":"Attraction","level":2,"score":0.416428804397583},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3445560932159424},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.31565582752227783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3116479814052582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24012702703475952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16157150268554688},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gensips.2012.6507725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2012.6507725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1599424389","https://openalex.org/W1971224531","https://openalex.org/W1975766849","https://openalex.org/W1980138510","https://openalex.org/W2001489471","https://openalex.org/W2077895748","https://openalex.org/W2086150890","https://openalex.org/W2106034845","https://openalex.org/W2113799780","https://openalex.org/W2121782762","https://openalex.org/W2152965497","https://openalex.org/W2160533336","https://openalex.org/W2160904474","https://openalex.org/W2165350808","https://openalex.org/W4242024146","https://openalex.org/W6636053142","https://openalex.org/W7009694729"],"related_works":["https://openalex.org/W2078469300","https://openalex.org/W2621242992","https://openalex.org/W2101472055","https://openalex.org/W2061235113","https://openalex.org/W2808998548","https://openalex.org/W1968124963","https://openalex.org/W2789889436","https://openalex.org/W2963357480","https://openalex.org/W4302620569","https://openalex.org/W2509811556"],"abstract_inverted_index":{"In":[0],"this":[1,71],"paper,":[2],"a":[3],"new":[4,25,32,72,98],"stationary":[5],"control":[6,27,68,76,80,99],"policy":[7,28,77,100],"in":[8],"Boolean":[9],"networks":[10,93],"(BNs)":[11],"is":[12],"derived":[13],"based":[14,82,89],"on":[15,83,90],"the":[16,41,67,87,97],"structural":[17],"properties":[18],"of":[19,21,70],"basins":[20],"attraction":[22],"(BOA).":[23],"The":[24],"greedy":[26],"guarantees":[29],"that":[30,96],"no":[31],"attractor":[33],"cycles":[34],"will":[35,46],"be":[36],"created":[37],"by":[38],"intervention":[39],"to":[40,52,62],"original":[42],"BNs.":[43],"Hence,":[44],"it":[45],"not":[47],"introduce":[48],"significant":[49],"steady-state":[50],"mass":[51],"ambiguous":[53],"network":[54,85],"states,":[55],"which":[56],"may":[57],"represent":[58],"unknown":[59],"phenotypes":[60],"corresponding":[61],"potential":[63],"collateral":[64],"damage.":[65],"Comparing":[66],"performance":[69,103],"phenotypically":[73],"constrained":[74],"BOA":[75],"with":[78,104],"previous":[79],"policies":[81],"long-run":[84],"behavior,":[86],"experiments":[88],"randomly":[91],"generated":[92],"have":[94],"shown":[95],"obtains":[101],"competitive":[102],"reduced":[105],"complexity.":[106]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}