{"id":"https://openalex.org/W1966546718","doi":"https://doi.org/10.1109/bibm.2013.6732555","title":"Robust inference of gene regulatory networks from multiple microarray datasets","display_name":"Robust inference of gene regulatory networks from multiple microarray datasets","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1966546718","doi":"https://doi.org/10.1109/bibm.2013.6732555","mag":"1966546718"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2013.6732555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2013.6732555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Bioinformatics and Biomedicine","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100746337","display_name":"Lizhi Liu","orcid":"https://orcid.org/0000-0002-4612-512X"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Li-Zhi Liu","raw_affiliation_strings":["Department of Mechanical Engineering, University of Saskatchewan, Canada","[Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]},{"raw_affiliation_string":"[Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada]","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091157395","display_name":"Fang\u2010Xiang Wu","orcid":"https://orcid.org/0000-0002-4593-9332"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fang-Xiang Wu","raw_affiliation_strings":["Department of Mechanical Engineering, University of Saskatchewan, Canada","[Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]},{"raw_affiliation_string":"[Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada]","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wen-Jun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wen-Jun Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, University of Saskatchewan, Canada","[Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]},{"raw_affiliation_string":"[Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada]","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":2.0505,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85047689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"544","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994999766349792,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9994999766349792,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9991999864578247,"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":0.9952999949455261,"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/robustness","display_name":"Robustness (evolution)","score":0.7135062217712402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019338011741638},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7017641663551331},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6869207620620728},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.6680553555488586},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6264594197273254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5394227504730225},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.5158371329307556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44662269949913025},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.42335045337677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3716542720794678},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.16450491547584534},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11815139651298523}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7135062217712402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019338011741638},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7017641663551331},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6869207620620728},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.6680553555488586},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6264594197273254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5394227504730225},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.5158371329307556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44662269949913025},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.42335045337677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3716542720794678},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.16450491547584534},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11815139651298523},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2013.6732555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2013.6732555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Bioinformatics and Biomedicine","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":17,"referenced_works":["https://openalex.org/W1540764732","https://openalex.org/W2001334414","https://openalex.org/W2008358153","https://openalex.org/W2027146421","https://openalex.org/W2057682568","https://openalex.org/W2067931273","https://openalex.org/W2073661114","https://openalex.org/W2095622082","https://openalex.org/W2135029798","https://openalex.org/W2138019504","https://openalex.org/W2161409973","https://openalex.org/W2163485494","https://openalex.org/W2171033594","https://openalex.org/W3105120000","https://openalex.org/W3143596294","https://openalex.org/W6668559965","https://openalex.org/W6793301333"],"related_works":["https://openalex.org/W1975417825","https://openalex.org/W4381827116","https://openalex.org/W2561368111","https://openalex.org/W4399585934","https://openalex.org/W2066604793","https://openalex.org/W4399586458","https://openalex.org/W2913638668","https://openalex.org/W2134744955","https://openalex.org/W2951054300","https://openalex.org/W1982897783"],"abstract_inverted_index":{"Multiple":[0],"time-course":[1],"microarray":[2],"datasets":[3,59,127],"with":[4,34],"the":[5,42,55,64,70,75,83,101,109,113,129,134],"same":[6],"underlying":[7],"gene":[8,18],"network":[9],"are":[10],"collected":[11],"from":[12,57,125],"different":[13],"experiments.":[14],"The":[15],"inference":[16,43],"of":[17,85,103,131,136],"regulatory":[19],"networks":[20],"(GRNs)":[21],"can":[22],"be":[23,32],"improved":[24],"by":[25],"integrating":[26],"these":[27],"datasets.":[28],"Microarray":[29],"data":[30,98],"may":[31,40],"contaminated":[33],"large":[35],"errors":[36],"or":[37],"outliers,":[38],"which":[39,81],"affect":[41],"results.":[44],"A":[45],"novel":[46],"method,":[47,77],"Huber":[48],"group":[49,114],"LASSO,":[50],"is":[51,93,118],"proposed":[52,76,110],"to":[53,120],"reconstruct":[54,121],"GRNs":[56,124],"multiple":[58,126],"as":[60,62],"well":[61],"taking":[63],"robustness":[65],"into":[66],"account.":[67],"To":[68],"solve":[69],"optimization":[71],"problem":[72],"involved":[73],"in":[74],"an":[78],"efficient":[79],"algorithm":[80],"combines":[82],"ideas":[84],"auxiliary":[86],"function":[87],"minimization":[88],"and":[89,96,117],"block":[90],"coordinate":[91],"descent":[92],"developed.":[94],"Simulations":[95],"real":[97],"applications":[99],"demonstrate":[100],"effectiveness":[102],"our":[104],"method.":[105],"Results":[106],"show":[107],"that":[108],"method":[111,116],"outperforms":[112],"LASSO":[115],"able":[119],"reasonably":[122],"good":[123],"even":[128],"number":[130,135],"genes":[132],"exceeds":[133],"observations.":[137]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}