{"id":"https://openalex.org/W3127199752","doi":"https://doi.org/10.1109/bibm49941.2020.9313596","title":"Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data","display_name":"Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3127199752","doi":"https://doi.org/10.1109/bibm49941.2020.9313596","mag":"3127199752"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5068926417","display_name":"Hang-Jin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang-Jin Yang","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065808540","display_name":"Yuying Zhao","orcid":"https://orcid.org/0009-0001-6976-8638"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Ying Zhao","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073144090","display_name":"Jin\u2010Xing Liu","orcid":"https://orcid.org/0000-0001-6104-2149"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Xing Liu","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019686897","display_name":"Yuxia Lei","orcid":"https://orcid.org/0000-0001-6200-8997"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Xia Lei","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007539735","display_name":"Junliang Shang","orcid":"https://orcid.org/0000-0002-8488-2228"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Liang Shang","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102801556","display_name":"Xiang-Zhen Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang-Zhen Kong","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":2.9384,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91739205,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"2131","last_page":"2138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9894999861717224,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","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"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.970300018787384,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.7579306960105896},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6953151822090149},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6832587122917175},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.6788910031318665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.581223726272583},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5412411689758301},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5060691237449646},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4733288884162903},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4519786238670349},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4239610433578491},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4121393859386444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3746948540210724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35967114567756653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3531739115715027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33523842692375183},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.15097996592521667},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11129817366600037},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.08059114217758179}],"concepts":[{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.7579306960105896},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6953151822090149},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6832587122917175},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.6788910031318665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.581223726272583},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5412411689758301},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5060691237449646},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4733288884162903},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4519786238670349},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4239610433578491},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4121393859386444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3746948540210724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35967114567756653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3531739115715027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33523842692375183},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.15097996592521667},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11129817366600037},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.08059114217758179},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1973161736","https://openalex.org/W1975940378","https://openalex.org/W1997201895","https://openalex.org/W2012231091","https://openalex.org/W2018183707","https://openalex.org/W2042280256","https://openalex.org/W2043571470","https://openalex.org/W2058701728","https://openalex.org/W2093343694","https://openalex.org/W2100549954","https://openalex.org/W2104408995","https://openalex.org/W2108819945","https://openalex.org/W2113359929","https://openalex.org/W2120423544","https://openalex.org/W2131838954","https://openalex.org/W2158396304","https://openalex.org/W2166574880","https://openalex.org/W2171837816","https://openalex.org/W2329659234","https://openalex.org/W2339299710","https://openalex.org/W2548889510","https://openalex.org/W2738537049","https://openalex.org/W2748710555","https://openalex.org/W2888473130","https://openalex.org/W2902791898","https://openalex.org/W2916750889","https://openalex.org/W2946901631","https://openalex.org/W2951085447","https://openalex.org/W2963885538","https://openalex.org/W2964214749","https://openalex.org/W2976673205","https://openalex.org/W6675164516","https://openalex.org/W6685042627"],"related_works":["https://openalex.org/W2990436289","https://openalex.org/W2732461152","https://openalex.org/W2006410278","https://openalex.org/W2309638141","https://openalex.org/W3174042135","https://openalex.org/W2574182783","https://openalex.org/W2732959879","https://openalex.org/W4291805341","https://openalex.org/W2929137829","https://openalex.org/W1970833585"],"abstract_inverted_index":{"Genetic":[0],"information":[1,96,187],"becomes":[2],"more":[3,5],"and":[4,83,125,133,149,181],"important":[6],"in":[7,19,65,79],"the":[8,23,73,76,112,121,127,136,139,144,151,165,169,178,190,203],"process":[9],"of":[10,25,75,97,123,141,146,153,168,185,196,206],"biological":[11,20],"research.":[12],"Gene":[13],"analysis":[14,24,32,48],"is":[15,34,117,199,220],"an":[16,35],"effective":[17,36],"mean":[18],"research,":[21],"especially":[22],"differentially":[26,40],"expressed":[27,41],"genes.":[28,42],"Robust":[29],"principal":[30,46],"component":[31,47,155],"(RPCA)":[33],"method":[37,61,78,91,195,219],"to":[38,92,110,119,188,201,222],"identify":[39],"But":[43],"tensor":[44,171],"robust":[45],"(TRPCA)":[49],"performs":[50],"better":[51],"than":[52],"RPCA":[53],"when":[54],"processing":[55],"multi-dimensional":[56,98],"data.":[57,99],"The":[58,115,157],"traditional":[59],"TRPCA":[60,77,90],"also":[62],"has":[63],"limitations":[64],"restoring":[66,80],"low-rank":[67,81,154,158],"sparse":[68,84,159],"components.":[69],"To":[70],"further":[71],"improve":[72,120,189],"accuracy":[74,152],"components":[82,160],"components,":[85,148],"we":[86],"propose":[87],"a":[88,102],"novel":[89],"obtain":[93],"high-order":[94],"correlations":[95],"It":[100,174],"uses":[101],"new":[103,170],"nuclear":[104,172],"norm":[105],"based":[106],"on":[107,211],"t-product":[108],"operator":[109],"approximate":[111],"rank":[113],"function.":[114],"L2,1-norm":[116,142],"used":[118,200],"sparsity":[122,145],"tensors":[124],"reduce":[126],"negative":[128],"effects":[129],"caused":[130],"by":[131,163],"noises":[132],"outliers.":[134],"At":[135],"same":[137],"time,":[138],"introduction":[140],"enhances":[143],"error":[147],"improves":[150],"recovery.":[156],"are":[161],"obtained":[162],"solving":[164],"convex":[166],"problem":[167,205],"norm.":[173],"can":[175],"well":[176],"preserve":[177],"spatial":[179],"structure":[180],"make":[182],"full":[183],"use":[184],"complementary":[186],"clustering":[191],"effect.":[192],"Alternating":[193],"direction":[194],"multiplier":[197],"(ADMM)":[198],"solve":[202],"optimization":[204],"this":[207],"method.":[208],"Experimental":[209],"results":[210],"different":[212],"cancer":[213],"genomic":[214],"datasets":[215],"indicate":[216],"that":[217],"our":[218],"superior":[221],"other":[223],"methods.":[224]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}