{"id":"https://openalex.org/W2119047401","doi":"https://doi.org/10.1093/bib/bbq080","title":"Missing value imputation for gene expression data: computational techniques to recover missing data from available information","display_name":"Missing value imputation for gene expression data: computational techniques to recover missing data from available information","publication_year":2010,"publication_date":"2010-12-14","ids":{"openalex":"https://openalex.org/W2119047401","doi":"https://doi.org/10.1093/bib/bbq080","mag":"2119047401","pmid":"https://pubmed.ncbi.nlm.nih.gov/21156727"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbq080","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbq080","pdf_url":"https://academic.oup.com/bib/article-pdf/12/5/498/747599/bbq080.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bib/article-pdf/12/5/498/747599/bbq080.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. W.-C. Liew","raw_affiliation_strings":["School of Information and Communication Technology, Gold Coast Campus, Griffith University, QLD4222, Australia. a.liew@griffith.edu.au"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Gold Coast Campus, Griffith University, QLD4222, Australia. a.liew@griffith.edu.au","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016890310","display_name":"Ngai-Fong Law","orcid":"https://orcid.org/0000-0002-9809-5110"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["HK","US"],"is_corresponding":false,"raw_author_name":"N.-F. Law","raw_affiliation_strings":["Ngai-Fong Law is an Associate Professor at the Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong. Her research focuses on applying advanced signal processing techniques to problems in bioinformatics. Dr Law is a senior member of IEEE","The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ngai-Fong Law is an Associate Professor at the Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong. Her research focuses on applying advanced signal processing techniques to problems in bioinformatics. Dr Law is a senior member of IEEE","institution_ids":["https://openalex.org/I4210121626"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100644375","display_name":"Hong Yan","orcid":"https://orcid.org/0000-0001-9661-3095"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I64427410","display_name":"Hong Kong Shue Yan University","ror":"https://ror.org/023t8mt09","country_code":"CN","type":"education","lineage":["https://openalex.org/I64427410"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"H. Yan","raw_affiliation_strings":["Hong Yan is a Professor at the Department of Electronic Engineering, City University of Hong Kong, Hong Kong. His research in bioinformatics focuses on gene expression data and DNA sequence analysis using advanced signal processing and pattern recognition techniques. Prof. Yan is a Fellow of IEEE and Fellow of IAPR","City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Yan is a Professor at the Department of Electronic Engineering, City University of Hong Kong, Hong Kong. His research in bioinformatics focuses on gene expression data and DNA sequence analysis using advanced signal processing and pattern recognition techniques. Prof. Yan is a Fellow of IEEE and Fellow of IAPR","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I64427410"]},{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3885,"currency":"USD","value_usd":3885},"apc_paid":null,"fwci":2.4935,"has_fulltext":true,"cited_by_count":220,"citation_normalized_percentile":{"value":0.89463559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"5","first_page":"498","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9993000030517578,"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/T10885","display_name":"Gene expression and cancer classification","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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9922999739646912,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.9183578491210938},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.8722730875015259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7363750338554382},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6847380995750427},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4073566794395447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29166746139526367}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.9183578491210938},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8722730875015259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363750338554382},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6847380995750427},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4073566794395447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29166746139526367}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1093/bib/bbq080","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbq080","pdf_url":"https://academic.oup.com/bib/article-pdf/12/5/498/747599/bbq080.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:21156727","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21156727","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in bioinformatics","raw_type":"Journal Article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/9098","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/9098","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/37592","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/37592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1093/bib/bbq080","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbq080","pdf_url":"https://academic.oup.com/bib/article-pdf/12/5/498/747599/bbq080.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2119047401.pdf","grobid_xml":"https://content.openalex.org/works/W2119047401.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1535247475","https://openalex.org/W1535641839","https://openalex.org/W1644749979","https://openalex.org/W1758524554","https://openalex.org/W1936279005","https://openalex.org/W1969289662","https://openalex.org/W1973468720","https://openalex.org/W1977908705","https://openalex.org/W1980611895","https://openalex.org/W1991537543","https://openalex.org/W1995049733","https://openalex.org/W2002194487","https://openalex.org/W2013770132","https://openalex.org/W2015439533","https://openalex.org/W2018407943","https://openalex.org/W2040558654","https://openalex.org/W2044758663","https://openalex.org/W2046143776","https://openalex.org/W2056652431","https://openalex.org/W2059398218","https://openalex.org/W2073826136","https://openalex.org/W2079576327","https://openalex.org/W2084277175","https://openalex.org/W2093017030","https://openalex.org/W2094613397","https://openalex.org/W2096740036","https://openalex.org/W2096863518","https://openalex.org/W2098424867","https://openalex.org/W2101600063","https://openalex.org/W2101829170","https://openalex.org/W2103017472","https://openalex.org/W2103453943","https://openalex.org/W2104383733","https://openalex.org/W2106801905","https://openalex.org/W2109204369","https://openalex.org/W2109205571","https://openalex.org/W2110598359","https://openalex.org/W2111104102","https://openalex.org/W2114933215","https://openalex.org/W2116219421","https://openalex.org/W2117441377","https://openalex.org/W2119253710","https://openalex.org/W2120246066","https://openalex.org/W2121536973","https://openalex.org/W2124704116","https://openalex.org/W2126382449","https://openalex.org/W2128215982","https://openalex.org/W2129815183","https://openalex.org/W2133300339","https://openalex.org/W2136714708","https://openalex.org/W2137510092","https://openalex.org/W2137683543","https://openalex.org/W2145456195","https://openalex.org/W2152491277","https://openalex.org/W2154604426","https://openalex.org/W2157795344","https://openalex.org/W2159309601","https://openalex.org/W2161827767","https://openalex.org/W2164307166","https://openalex.org/W2169541951","https://openalex.org/W2171088586","https://openalex.org/W2171118759","https://openalex.org/W2171802582","https://openalex.org/W2222512263","https://openalex.org/W2467020497","https://openalex.org/W4246697467","https://openalex.org/W4294107304"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3179858851","https://openalex.org/W3123177881"],"abstract_inverted_index":{"Microarray":[0],"gene":[1],"expression":[2],"data":[3,20],"generally":[4],"suffers":[5],"from":[6,64],"missing":[7,19,34,46],"value":[8,47],"problem":[9],"due":[10],"to":[11,32,91,133],"a":[12,41,102,120],"variety":[13],"of":[14,44,71,95,123,140],"experimental":[15],"reasons.":[16],"Since":[17],"the":[18,66,81,88,93,118,124,137],"points":[21],"can":[22,84],"adversely":[23],"affect":[24],"downstream":[25],"analysis,":[26],"many":[27],"algorithms":[28],"have":[29],"been":[30],"proposed":[31],"impute":[33],"values.":[35],"In":[36,76],"this":[37,114,128],"survey,":[38],"we":[39,78],"provide":[40],"comprehensive":[42],"review":[43,115],"existing":[45],"imputation":[48,82,97,141],"algorithms,":[49,98],"focusing":[50],"on":[51,104],"their":[52,69],"underlying":[53],"algorithmic":[54],"techniques":[55],"and":[56,87,130],"how":[57,80],"they":[58],"utilize":[59],"local":[60],"or":[61,68],"global":[62],"information":[63],"within":[65],"data,":[67],"use":[70],"domain":[72],"knowledge":[73],"during":[74],"imputation.":[75],"addition,":[77],"describe":[79],"results":[83],"be":[85],"validated":[86],"different":[89,96],"ways":[90],"assess":[92],"performance":[94],"as":[99,101],"well":[100],"discussion":[103],"some":[105],"possible":[106],"future":[107],"research":[108],"directions.":[109],"It":[110],"is":[111],"hoped":[112],"that":[113],"will":[116],"give":[117],"readers":[119],"good":[121],"understanding":[122],"current":[125],"development":[126],"in":[127],"field":[129],"inspire":[131],"them":[132],"come":[134],"up":[135],"with":[136],"next":[138],"generation":[139],"algorithms.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":7}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
