{"id":"https://openalex.org/W1989368106","doi":"https://doi.org/10.1109/cdc.2011.6161460","title":"Genetic regulatory network identification using multivariate monotone functions","display_name":"Genetic regulatory network identification using multivariate monotone functions","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W1989368106","doi":"https://doi.org/10.1109/cdc.2011.6161460","mag":"1989368106"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2011.6161460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2011.6161460","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/A5086342595","display_name":"Nicholas Cooper","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nicholas Cooper","raw_affiliation_strings":["Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy NY 12180, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086742095","display_name":"C\u0103lin Belta","orcid":"https://orcid.org/0000-0002-7141-2657"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Calin Belta","raw_affiliation_strings":["Department of Mechanical Engineering, Boston University, Boston, MA, USA","Department of Mechanical Engineering Boston University, MA 02215, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Mechanical Engineering Boston University, MA 02215, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029921181","display_name":"A. Agung Julius","orcid":"https://orcid.org/0000-0002-0970-3226"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Agung Julius","raw_affiliation_strings":["Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy NY 12180, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086342595"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.667,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67834813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"2208","last_page":"2213"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9965000152587891,"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":0.9940999746322632,"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/regulator","display_name":"Regulator","score":0.8689993023872375},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5907980799674988},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5745139122009277},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5502030849456787},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5304346084594727},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.5279979705810547},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4901793599128723},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.48597609996795654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48420193791389465},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.46643662452697754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3344321548938751},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.32979485392570496},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21963045001029968},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.20714721083641052},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1468622088432312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11733731627464294},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.10357969999313354}],"concepts":[{"id":"https://openalex.org/C6929976","wikidata":"https://www.wikidata.org/wiki/Q3771881","display_name":"Regulator","level":3,"score":0.8689993023872375},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5907980799674988},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5745139122009277},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5502030849456787},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5304346084594727},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.5279979705810547},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4901793599128723},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.48597609996795654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48420193791389465},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.46643662452697754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3344321548938751},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.32979485392570496},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21963045001029968},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.20714721083641052},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1468622088432312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11733731627464294},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.10357969999313354},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2011.6161460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2011.6161460","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.401.159","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ecse.rpi.edu/homepages/agung/Research/Cooper11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1599969036","https://openalex.org/W1837652160","https://openalex.org/W1966641487","https://openalex.org/W1967278545","https://openalex.org/W1972764318","https://openalex.org/W1991906044","https://openalex.org/W2034046721","https://openalex.org/W2044525257","https://openalex.org/W2076372398","https://openalex.org/W2091520910","https://openalex.org/W2106927126","https://openalex.org/W2110070747","https://openalex.org/W2119980081","https://openalex.org/W2120423816","https://openalex.org/W2129265801","https://openalex.org/W2150926065","https://openalex.org/W2155408323","https://openalex.org/W2161409973","https://openalex.org/W2163833586","https://openalex.org/W2166106382","https://openalex.org/W2528271650","https://openalex.org/W6673040619"],"related_works":["https://openalex.org/W1489292980","https://openalex.org/W2951610245","https://openalex.org/W2795079910","https://openalex.org/W1430963189","https://openalex.org/W2052430123","https://openalex.org/W3037410748","https://openalex.org/W4319835971","https://openalex.org/W2049901819","https://openalex.org/W1983437306","https://openalex.org/W1974262772"],"abstract_inverted_index":{"We":[0,56,166],"present":[1,57],"a":[2,12,28,33,39,76,94,160],"method":[3],"for":[4,62,102],"identification":[5,142],"of":[6,15,27,30,65,96,120,143,175],"gene":[7,16,34,104,162],"regulatory":[8,25],"network":[9,163],"topology":[10],"using":[11],"time":[13],"series":[14],"expression":[17],"data.":[18],"The":[19,42],"underlying":[20],"assumption":[21],"is":[22,45,91,111,177],"that":[23,171],"the":[24,63,66,89,106,114,117,122,125,128,141,144,172,180],"effects":[26],"set":[29,119,130,174],"regulators":[31,176],"to":[32,47,131,169],"can":[35,72],"be":[36,48,73],"described":[37,92],"by":[38,93,179],"multivariate":[40,43],"function.":[41,136],"function":[44,101],"constrained":[46],"continuous,":[49],"nonnegative":[50],"and":[51,59,127],"monotonic":[52],"in":[53,105,164],"each":[54,103],"variable.":[55],"necessary":[58],"sufficient":[60],"conditions":[61,71],"validity":[64],"regulation":[67,90],"hypothesis.":[68],"Checking":[69],"these":[70],"expressed":[74],"as":[75],"Linear":[77],"Programming":[78],"feasibility":[79],"problem.":[80],"This":[81,137],"paper":[82,138],"builds":[83],"on":[84,140,155],"our":[85,152],"previous":[86],"work,":[87],"where":[88],"summation":[95],"multiple":[97],"regulator":[98,107,129,135,146],"functions,":[99],"one":[100],"set.":[108,147],"Our":[109],"procedure":[110],"two":[112],"phased;":[113],"first":[115],"identifies":[116],"correct":[118,145,173],"regulators,":[121],"second":[123],"uses":[124],"data":[126,158],"generate":[132],"an":[133],"appropriate":[134],"focuses":[139],"As":[148],"demonstration,":[149],"we":[150],"run":[151],"main":[153],"algorithm":[154],"some":[156],"experimental":[157],"from":[159],"synthetic":[161],"yeast.":[165],"are":[167],"able":[168],"show":[170],"picked":[178],"algorithm.":[181]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}