{"id":"https://openalex.org/W2153184834","doi":"https://doi.org/10.1109/cca.2005.1507116","title":"Genetic network inference via gene set stochastic sampling and sensitivity analysis","display_name":"Genetic network inference via gene set stochastic sampling and sensitivity analysis","publication_year":2005,"publication_date":"2005-09-12","ids":{"openalex":"https://openalex.org/W2153184834","doi":"https://doi.org/10.1109/cca.2005.1507116","mag":"2153184834"},"language":"en","primary_location":{"id":"doi:10.1109/cca.2005.1507116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2005.1507116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005.","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/A5114020144","display_name":"Simon Knott","orcid":"https://orcid.org/0000-0002-4018-7653"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"S. Knott","raw_affiliation_strings":["School of Computing, Queen''s University, Kingston, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing, Queen''s University, Kingston, ONT, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065367298","display_name":"Sara Mostafavi","orcid":"https://orcid.org/0000-0003-4698-1177"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Mostafavi","raw_affiliation_strings":["School of Computing, Queen''s University, Kingston, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing, Queen''s University, Kingston, ONT, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040401197","display_name":"Parvin Mousavi","orcid":"https://orcid.org/0000-0002-1630-7379"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"P. Mousavi","raw_affiliation_strings":["School of Computing, Queen''s University, Kingston, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing, Queen''s University, Kingston, ONT, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111565691","display_name":"Janice Glasgow","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J. Glasgow","raw_affiliation_strings":["School of Computing, Queen''s University, Kingston, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing, Queen''s University, Kingston, ONT, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114020144"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":0.3692,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59880513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"148","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9993000030517578,"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":0.9993000030517578,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9837999939918518,"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/generalizability-theory","display_name":"Generalizability theory","score":0.7461512684822083},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6920859813690186},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6725245714187622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684954762458801},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6571143865585327},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.5819255113601685},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4999825954437256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4964321255683899},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3897973895072937},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3665171265602112},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3418663442134857},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3410835862159729},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.2926274836063385},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20718026161193848},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.14959987998008728},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14107444882392883},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08014935255050659}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7461512684822083},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6920859813690186},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6725245714187622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684954762458801},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6571143865585327},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.5819255113601685},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4999825954437256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4964321255683899},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3897973895072937},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3665171265602112},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3418663442134857},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3410835862159729},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.2926274836063385},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20718026161193848},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.14959987998008728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14107444882392883},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08014935255050659},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cca.2005.1507116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2005.1507116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W71312029","https://openalex.org/W567310294","https://openalex.org/W1508421933","https://openalex.org/W1971224531","https://openalex.org/W2008107402","https://openalex.org/W2064798676","https://openalex.org/W2078660236","https://openalex.org/W2100057485","https://openalex.org/W2107093743","https://openalex.org/W2122123241","https://openalex.org/W2124025352","https://openalex.org/W2128506325","https://openalex.org/W2133241531","https://openalex.org/W2136605310","https://openalex.org/W2259239584","https://openalex.org/W6630383247"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W410723623","https://openalex.org/W2413243053","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2560421304","https://openalex.org/W2950199998","https://openalex.org/W2951387065","https://openalex.org/W4385727351","https://openalex.org/W4306798985"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"two":[3],"approaches":[4,22],"utilizing":[5],"neural":[6,55,87,94],"networks,":[7],"intended":[8],"to":[9,24,34,63,73,83],"infer":[10],"genetic":[11,51],"regulatory":[12,52],"networks":[13,95],"from":[14],"temporal":[15],"gene":[16,102],"expression":[17,38,103,113],"measurements,":[18],"are":[19],"examined.":[20],"These":[21],"aimed":[23],"find":[25],"a":[26,41],"minimal":[27,111],"set":[28],"of":[29,40,67],"genes":[30],"that":[31],"were":[32,58,80],"able":[33],"accurately":[35],"predict":[36],"the":[37,46,49,65,68,74,85,100,109],"levels":[39,114],"given":[42,108],"gene,":[43],"thus":[44],"modeling":[45,69],"interactions":[47],"in":[48,60],"underlying":[50],"networks.":[53],"Two":[54,77],"network":[56,75],"architectures":[57],"employed":[59],"each":[61],"approach":[62],"determine":[64],"robustness":[66],"procedure":[70],"with":[71,97],"respect":[72],"architecture.":[76],"testing":[78],"procedures":[79],"also":[81],"devised":[82],"evaluate":[84],"trained":[86],"networks'":[88],"performance":[89],"and":[90],"generalizability.":[91],"The":[92],"resulting":[93],"predicted,":[96],"high":[98],"accuracy,":[99],"target":[101],"level":[104],"at":[105,115],"future":[106],"times":[107],"predicted":[110],"gene-set":[112],"previous":[116],"time":[117],"points":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}