{"id":"https://openalex.org/W2040054343","doi":"https://doi.org/10.1109/cibcb.2010.5510725","title":"Additive noise analysis on microarray data via SVM classification","display_name":"Additive noise analysis on microarray data via SVM classification","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2040054343","doi":"https://doi.org/10.1109/cibcb.2010.5510725","mag":"2040054343"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2010.5510725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2010.5510725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","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/A5109865212","display_name":"Zejin Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zejin Jason Ding","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA, USA","Dept. of Computer Science, Georgia State University, Atlanta, GA 30302 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Dept. of Computer Science, Georgia State University, Atlanta, GA 30302 USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100612100","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0001-9849-8422"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan-Qing Zhang","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA, USA","Dept. of Computer Science, Georgia State University, Atlanta, GA 30302 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Dept. of Computer Science, Georgia State University, Atlanta, GA 30302 USA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109865212"],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":0.2643,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57875894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"286","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998999834060669,"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/T10885","display_name":"Gene expression and cancer classification","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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9944999814033508,"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":0.986299991607666,"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/support-vector-machine","display_name":"Support vector machine","score":0.8079960346221924},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7014113664627075},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.6962506771087646},{"id":"https://openalex.org/keywords/microarray","display_name":"Microarray","score":0.5838108062744141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5669853091239929},{"id":"https://openalex.org/keywords/gene-chip-analysis","display_name":"Gene chip analysis","score":0.5466788411140442},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5025067329406738},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44142892956733704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38385242223739624},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3296980857849121},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32677561044692993},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3204253911972046},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.24504992365837097},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21512091159820557},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16860079765319824}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8079960346221924},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7014113664627075},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.6962506771087646},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.5838108062744141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5669853091239929},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.5466788411140442},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5025067329406738},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44142892956733704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38385242223739624},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3296980857849121},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32677561044692993},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3204253911972046},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.24504992365837097},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21512091159820557},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16860079765319824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb.2010.5510725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2010.5510725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1532319248","https://openalex.org/W1551305907","https://openalex.org/W1967053372","https://openalex.org/W1976625175","https://openalex.org/W1980114222","https://openalex.org/W1992242907","https://openalex.org/W2010637767","https://openalex.org/W2087684630","https://openalex.org/W2095365800","https://openalex.org/W2102831150","https://openalex.org/W2109363337","https://openalex.org/W2118302803","https://openalex.org/W2119387367","https://openalex.org/W2123106337","https://openalex.org/W2129151899","https://openalex.org/W2136350778","https://openalex.org/W2141012957","https://openalex.org/W2143426320","https://openalex.org/W2147246240","https://openalex.org/W2153635508","https://openalex.org/W2156246479","https://openalex.org/W2506273648","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W2767847608","https://openalex.org/W2361788533","https://openalex.org/W2015700328","https://openalex.org/W2911678823","https://openalex.org/W2057566290","https://openalex.org/W1491323697","https://openalex.org/W170658859","https://openalex.org/W2388378880","https://openalex.org/W2378654996","https://openalex.org/W1583052686"],"abstract_inverted_index":{"Microarray":[0],"technology":[1],"has":[2],"been":[3],"broadly":[4],"used":[5,176],"for":[6],"monitoring":[7],"the":[8,17,40,68,78,110,122,135,141,159,166,179],"expression":[9],"levels":[10],"of":[11,13,19,35,70,80,113,137],"thousands":[12],"genes":[14,22,27,164],"simultaneously,":[15],"providing":[16],"opportunities":[18],"identifying":[20],"disease-related":[21],"by":[23,44,76],"finding":[24],"differentially":[25],"expressed":[26],"in":[28,87,162,182],"different":[29,45,58],"conditions.":[30],"However,":[31],"a":[32,100,114],"great":[33],"challenge":[34],"analyzing":[36],"microarray":[37,88,150,183],"data":[38,89],"is":[39],"significant":[41],"noise":[42,102,130,180],"brought":[43],"experimental":[46],"settings,":[47],"laboratory":[48],"procedures,":[49],"genetic":[50],"heterogeneity":[51],"among":[52,57],"samples,":[53],"and":[54,60,107,133,165,185],"environmental":[55],"variations":[56],"patients,":[59],"so":[61],"on.":[62],"This":[63],"paper":[64],"attempts":[65],"to":[66,104,140,177],"analyze":[67,178],"influence":[69],"these":[71],"noises":[72,156],"on":[73,147],"each":[74,85,105],"gene":[75,86,106,139,190],"measuring":[77],"changes":[79],"classification":[81,111,160],"performance.":[82],"We":[83],"assume":[84],"includes":[90],"an":[91],"independently":[92],"distributed":[93],"unknown":[94],"uniform":[95],"noise.":[96],"Thus,":[97],"we":[98,127,152],"add":[99],"compensated":[101],"back":[103],"test":[108],"whether":[109],"accuracy":[112,123,161],"linear":[115],"support":[116],"vector":[117],"machine":[118],"(SVM)":[119],"improves.":[120],"If":[121],"does":[124,131],"increase,":[125],"then":[126],"believe":[128],"such":[129,154],"exist":[132],"degenerate":[134],"relation":[136],"this":[138],"disease":[142],"status.":[143],"Through":[144],"extensive":[145],"experiments":[146],"several":[148,163],"public":[149],"data,":[151],"found":[153],"added":[155],"can":[157,174],"improve":[158],"results":[167],"are":[168],"relatively":[169],"consistent,":[170],"indicating":[171],"our":[172],"method":[173],"be":[175],"pattern":[181],"experiments,":[184],"also":[186],"discover":[187],"potential":[188],"important":[189],"markers.":[191]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
