{"id":"https://openalex.org/W3127902001","doi":"https://doi.org/10.1109/cac51589.2020.9326958","title":"Classification of Imbalanced Tumor Gene Expression Data Based on Weighted Gaussian Process","display_name":"Classification of Imbalanced Tumor Gene Expression Data Based on Weighted Gaussian Process","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3127902001","doi":"https://doi.org/10.1109/cac51589.2020.9326958","mag":"3127902001"},"language":"en","primary_location":{"id":"doi:10.1109/cac51589.2020.9326958","doi":"https://doi.org/10.1109/cac51589.2020.9326958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cac51589.2020.9326958","pdf_url":null,"source":{"id":"https://openalex.org/S4306421749","display_name":"Chinese Automation Congress","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Chinese Automation Congress (CAC)","raw_type":"proceedings-article"},"volume":null,"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/A5011738676","display_name":"Ruirui Ji","orcid":"https://orcid.org/0000-0001-6526-868X","observed_orcids":["https://orcid.org/0000-0001-6526-868X"]},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruirui Ji","raw_affiliation_strings":["School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101803407","display_name":"Meng Zhao","orcid":"https://orcid.org/0000-0002-5575-7962","observed_orcids":["https://orcid.org/0000-0002-5575-7962"]},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhao","raw_affiliation_strings":["School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047026319","display_name":"Yi Wu","orcid":"https://orcid.org/0000-0002-0492-3334","observed_orcids":["https://orcid.org/0000-0002-0492-3334"]},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wu","raw_affiliation_strings":["School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an, P.R. China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":1.4738,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85239335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"5827","last_page":"5831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9496999979019165,"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":0.9496999979019165,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.04839999973773956,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.0003000000142492354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.7160000205039978},{"id":"https://openalex.org/keywords/tumor-gene-expression","display_name":"cancer gene expression","score":0.828000009059906},{"id":"https://openalex.org/keywords/gaussian-process-classification","display_name":"Gaussian process classification","score":0.906000018119812},{"id":"https://openalex.org/keywords/weighted-likelihood","display_name":"weighted likelihood","score":0.8320000171661377},{"id":"https://openalex.org/keywords/minority-class","display_name":"minority class","score":0.5630000233650208},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"multi-class classification","score":0.972000002861023},{"id":"https://openalex.org/keywords/high-dimensional-low-sample-size-data","display_name":"high-dimensional small-sample data","score":0.9049999713897705}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6114540100097656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6099900603294373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6004427671432495},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5930894613265991},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5880260467529297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5534394979476929},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4898638427257538},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.44685015082359314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42766863107681274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37784329056739807},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cac51589.2020.9326958","doi":"https://doi.org/10.1109/cac51589.2020.9326958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cac51589.2020.9326958","pdf_url":null,"source":{"id":"https://openalex.org/S4306421749","display_name":"Chinese Automation Congress","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Chinese Automation Congress (CAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1905898145","https://openalex.org/W1938872665","https://openalex.org/W2014498791","https://openalex.org/W2022315449","https://openalex.org/W2025114895","https://openalex.org/W2026458067","https://openalex.org/W2076695656","https://openalex.org/W2107335650","https://openalex.org/W2168508521","https://openalex.org/W2253795368","https://openalex.org/W2768939104","https://openalex.org/W2933246980","https://openalex.org/W3001245613"],"related_works":["https://openalex.org/W3001245613","https://openalex.org/W1541950099","https://openalex.org/W4293203140","https://openalex.org/W4387769455","https://openalex.org/W2134087935","https://openalex.org/W2898207304","https://openalex.org/W3083454456","https://openalex.org/W2933246980","https://openalex.org/W1598088094","https://openalex.org/W4405429528"],"abstract_inverted_index":{"Tumor":[0],"gene":[1,78],"expression":[2,79],"data":[3,80,112],"is":[4,47],"characterized":[5],"with":[6,89],"high":[7],"dimension,":[8],"small":[9,22],"samples":[10,36,57],"and":[11,21,55,65,110],"imbalance.":[12],"Gaussian":[13,62],"Process":[14,63],"Classification":[15],"presents":[16],"good":[17],"applicability":[18],"to":[19,49,68],"high-dimensional":[20],"sample":[23],"data,":[24],"but":[25],"class-imbalanced":[26,91],"problem":[27,92],"will":[28],"cause":[29],"the":[30,35,51,59,90,107],"low":[31],"classification":[32,70,103],"accuracy":[33,104],"on":[34,75,105],"of":[37,53,61],"minority":[38,108],"classes.":[39],"In":[40],"this":[41,84],"paper,":[42],"a":[43],"weighted":[44],"likelihood":[45],"function":[46],"introduced":[48],"balance":[50],"importance":[52],"positive":[54],"negative":[56],"during":[58],"training":[60],"Classifier,":[64],"further":[66],"extended":[67],"multi-class":[69,98],"tasks.":[71],"The":[72],"experimental":[73],"results":[74],"real":[76],"tumor":[77],"sets":[81],"show":[82],"that":[83],"method":[85],"could":[86],"effectively":[87],"deal":[88],"caused":[93],"by":[94],"One-Against-Rest":[95],"strategy":[96],"in":[97],"classification,":[99],"meanwhile,":[100],"achieve":[101],"better":[102],"both":[106],"classes":[109],"overall":[111],"sets.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2021-02-15T00:00:00"}