{"id":"https://openalex.org/W2074814546","doi":"https://doi.org/10.1109/ssp.2012.6319762","title":"Gene deletion data based genomic regulatory network inference","display_name":"Gene deletion data based genomic regulatory network inference","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2074814546","doi":"https://doi.org/10.1109/ssp.2012.6319762","mag":"2074814546"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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/A5100328713","display_name":"Liming Wang","orcid":"https://orcid.org/0000-0001-9596-8054"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liming Wang","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY, USA","Dept. of Electrical Engineering, Columbia Univ., New York, 10027, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Columbia Univ., New York, 10027, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382658","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0002-2945-9240"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY, USA","Dept. of Electrical Engineering, Columbia Univ., New York, 10027, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Columbia Univ., New York, 10027, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100328713"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09697513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"418","issue":null,"first_page":"572","last_page":"575"},"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":0.9987000226974487,"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":0.998199999332428,"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/inference","display_name":"Inference","score":0.8286933898925781},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.7440274953842163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6415454149246216},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.5349506139755249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5316439270973206},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3793579638004303},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.372914582490921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28124696016311646},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.24217131733894348},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2284090220928192},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16785433888435364}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8286933898925781},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.7440274953842163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415454149246216},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.5349506139755249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5316439270973206},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3793579638004303},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.372914582490921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28124696016311646},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.24217131733894348},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2284090220928192},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16785433888435364}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1763161027","https://openalex.org/W2004401280","https://openalex.org/W2020934227","https://openalex.org/W2030431062","https://openalex.org/W2040524415","https://openalex.org/W2058221907","https://openalex.org/W2130721915","https://openalex.org/W2142437744","https://openalex.org/W3123317843","https://openalex.org/W6655473528"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W2560421304","https://openalex.org/W2950199998","https://openalex.org/W2951387065","https://openalex.org/W4385727351","https://openalex.org/W4306798985","https://openalex.org/W2491040355","https://openalex.org/W1982897783","https://openalex.org/W2593123794"],"abstract_inverted_index":{"The":[0,49,95,124],"gene":[1,8,17,50,92],"deletion":[2,40,56,75,93],"data":[3,41,57,76],"is":[4,12,42],"a":[5,133],"type":[6],"of":[7,26,79,105,120],"expression":[9],"data,":[10,38],"which":[11],"obtained":[13],"by":[14],"deleting":[15],"each":[16],"consecutively":[18],"from":[19],"the":[20,24,27,36,39,55,74,100,106,113,118,121],"network":[21,29,115],"and":[22,45,102],"measuring":[23],"fitness":[25],"remaining":[28],"under":[30],"various":[31,63,138],"environmental":[32],"conditions.":[33],"Compared":[34],"to":[35,47,58,116,130],"microarray":[37,144],"much":[43],"easier":[44],"economical":[46],"obtain.":[48],"tag":[51],"technology":[52],"has":[53,127],"enabled":[54],"be":[59],"largely":[60],"available":[61],"for":[62,73,136],"regulatory":[64,107,139],"networks.":[65,108],"However,":[66],"very":[67],"few":[68],"inference":[69,88,97],"algorithms":[70],"are":[71],"proposed":[72,96,122,125],"in":[77],"spite":[78],"its":[80],"advantages.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85],"propose":[86],"an":[87],"algorithm":[89,98,126],"based":[90],"on":[91,112],"data.":[94,145],"capture":[99],"dynamical":[101],"non-linear":[103],"natures":[104],"We":[109],"conduct":[110],"experiment":[111],"GAL":[114],"demonstrate":[117],"performance":[119],"algorithm.":[123],"been":[128],"shown":[129],"serve":[131],"as":[132],"good":[134],"alternatives":[135],"exploring":[137],"networks":[140],"other":[141],"than":[142],"using":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}