{"id":"https://openalex.org/W2884286481","doi":"https://doi.org/10.1109/tnnls.2018.2849932","title":"Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery","display_name":"Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery","publication_year":2018,"publication_date":"2018-07-16","ids":{"openalex":"https://openalex.org/W2884286481","doi":"https://doi.org/10.1109/tnnls.2018.2849932","mag":"2884286481","pmid":"https://pubmed.ncbi.nlm.nih.gov/30010601"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2849932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2849932","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5033510515","display_name":"Yifeng Li","orcid":"https://orcid.org/0000-0002-4873-6928"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yifeng Li","raw_affiliation_strings":["Digital Technologies Research Center, National Research Council Canada, Ottawa, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4873-6928","affiliations":[{"raw_affiliation_string":"Digital Technologies Research Center, National Research Council Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019868633","display_name":"Youlian Pan","orcid":"https://orcid.org/0000-0002-0158-0081"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Youlian Pan","raw_affiliation_strings":["Digital Technologies Research Center, National Research Council Canada, Ottawa, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0158-0081","affiliations":[{"raw_affiliation_string":"Digital Technologies Research Center, National Research Council Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210159778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033923794","display_name":"Ziying Liu","orcid":"https://orcid.org/0000-0001-7821-6723"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ziying Liu","raw_affiliation_strings":["Digital Technologies Research Center, National Research Council Canada, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Technologies Research Center, National Research Council Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I4210159778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210159778"],"apc_list":null,"apc_paid":null,"fwci":0.2707,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.56133056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"30","issue":"2","first_page":"615","last_page":"629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9936000108718872,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9894999861717224,"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/computer-science","display_name":"Computer science","score":0.7077160477638245},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6822299957275391},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6731016635894775},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6158114671707153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5768974423408508},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5634469389915466},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5581416487693787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.514125406742096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5039796233177185},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4855651557445526},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4646211564540863},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.42239925265312195},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41691166162490845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077160477638245},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6822299957275391},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6731016635894775},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6158114671707153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5768974423408508},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5634469389915466},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5581416487693787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.514125406742096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5039796233177185},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4855651557445526},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4646211564540863},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.42239925265312195},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41691166162490845},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2018.2849932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2849932","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:30010601","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30010601","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":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:86a509b0-de54-4406-a3eb-a381708d6877","is_oa":false,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=86a509b0-de54-4406-a3eb-a381708d6877","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334601","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1483271435","https://openalex.org/W1503398984","https://openalex.org/W1516111018","https://openalex.org/W1554944419","https://openalex.org/W1607332788","https://openalex.org/W1663973292","https://openalex.org/W1893333638","https://openalex.org/W1972822237","https://openalex.org/W1973628995","https://openalex.org/W1975900269","https://openalex.org/W1981509058","https://openalex.org/W1981745143","https://openalex.org/W1981813507","https://openalex.org/W1983989471","https://openalex.org/W1992233256","https://openalex.org/W2009965585","https://openalex.org/W2013144333","https://openalex.org/W2013715930","https://openalex.org/W2016895073","https://openalex.org/W2027345413","https://openalex.org/W2031696998","https://openalex.org/W2045156863","https://openalex.org/W2052637985","https://openalex.org/W2054372483","https://openalex.org/W2058648826","https://openalex.org/W2061200096","https://openalex.org/W2062289724","https://openalex.org/W2068036075","https://openalex.org/W2074414424","https://openalex.org/W2075779886","https://openalex.org/W2085282079","https://openalex.org/W2087962626","https://openalex.org/W2091723965","https://openalex.org/W2095705004","https://openalex.org/W2109384743","https://openalex.org/W2116542188","https://openalex.org/W2129795133","https://openalex.org/W2129812935","https://openalex.org/W2135046866","https://openalex.org/W2139462220","https://openalex.org/W2142316424","https://openalex.org/W2147891610","https://openalex.org/W2149168904","https://openalex.org/W2162162988","https://openalex.org/W2171033594","https://openalex.org/W2171483736","https://openalex.org/W2180374961","https://openalex.org/W2207836398","https://openalex.org/W2253609413","https://openalex.org/W2289308528","https://openalex.org/W2294460823","https://openalex.org/W2399984617","https://openalex.org/W2478708596","https://openalex.org/W2512558912","https://openalex.org/W2556086109","https://openalex.org/W2562162676","https://openalex.org/W2567080747","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2998216295","https://openalex.org/W4213460895","https://openalex.org/W4237840503","https://openalex.org/W4285719527","https://openalex.org/W4302853952","https://openalex.org/W6628762378","https://openalex.org/W6674330103","https://openalex.org/W6685046786","https://openalex.org/W6696835939","https://openalex.org/W6731476941","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840"],"abstract_inverted_index":{"In":[0,46,83],"this":[1,44,47,51],"big":[2],"data":[3,25,132,154],"era,":[4],"interpretable":[5],"machine":[6],"learning":[7],"models":[8,127,143],"are":[9],"strongly":[10],"demanded":[11],"for":[12,80],"the":[13,34,87,152,161],"comprehensive":[14],"analytics":[15],"of":[16,89,115],"large-scale":[17],"multiclass":[18,57],"data.":[19,137,163],"Characterizing":[20],"all":[21],"features":[22],"from":[23,112,151,160],"such":[24],"is":[26,67],"a":[27,55],"key":[28],"but":[29],"challenging":[30],"step":[31],"to":[32,49,69,85,146],"understand":[33],"complexity.":[35],"However,":[36],"existing":[37],"feature":[38,95,110,149],"selection":[39,91],"methods":[40],"do":[41],"not":[42],"meet":[43],"need.":[45],"paper,":[48],"address":[50],"problem,":[52],"we":[53,97],"propose":[54,99],"Bayesian":[56],"nonnegative":[58],"matrix":[59],"factorization":[60],"(MC-NMF)":[61],"model":[62,90],"with":[63,101],"structured":[64],"sparsity":[65],"that":[66,107,141],"able":[68,145],"discover":[70],"ubiquitous":[71],"and":[72,92,121,133,155],"class-specific":[73],"features.":[74],"Variational":[75],"update":[76],"rules":[77],"were":[78,144],"derived":[79],"efficient":[81],"decomposition.":[82],"order":[84],"relieve":[86],"need":[88],"stably":[93],"describe":[94],"patterns,":[96],"further":[98],"MC-NMF":[100,116],"stability":[102],"selection,":[103],"an":[104],"ensemble":[105],"method":[106],"collectively":[108],"detects":[109],"patterns":[111,150,159],"many":[113],"runs":[114],"using":[117],"different":[118],"hyperparameter":[119],"values":[120],"training":[122],"subsets.":[123],"We":[124],"assessed":[125],"our":[126,142],"on":[128],"both":[129],"simulated":[130,153],"count":[131],"multitumor":[134],"ribonucleic":[135],"acid-seq":[136],"The":[138],"experiments":[139],"revealed":[140],"recover":[147],"predefined":[148],"identify":[156],"biologically":[157],"meaningful":[158],"pan-cancer":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}