{"id":"https://openalex.org/W3129011659","doi":"https://doi.org/10.1109/bibm49941.2020.9313423","title":"Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data","display_name":"Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3129011659","doi":"https://doi.org/10.1109/bibm49941.2020.9313423","mag":"3129011659"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313423","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/A5053751436","display_name":"Yu Song","orcid":"https://orcid.org/0000-0003-0955-8222"},"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 Song","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","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 Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, 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 Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773422","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0002-8289-1614"},"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":"Juan Wang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011951772","display_name":"Shasha Yuan","orcid":"https://orcid.org/0000-0003-4792-9880"},"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":"Sha-Sha Yuan","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100648398","display_name":"Ling-Yun Dai","orcid":"https://orcid.org/0000-0002-5473-323X"},"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":"Ling-Yun Dai","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, 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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32548216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9986000061035156,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9986000061035156,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9689000248908997,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9659000039100647,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7269619703292847},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6557309627532959},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.531731367111206},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5310331583023071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512248694896698},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4826298654079437},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.4655991494655609},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4069068431854248},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37704262137413025},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3536568582057953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3012050688266754},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1690468192100525}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7269619703292847},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6557309627532959},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.531731367111206},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5310331583023071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512248694896698},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4826298654079437},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.4655991494655609},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4069068431854248},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37704262137413025},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3536568582057953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012050688266754},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1690468192100525},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313423","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/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1975900269","https://openalex.org/W2071140272","https://openalex.org/W2106210113","https://openalex.org/W2108119513","https://openalex.org/W2164278908","https://openalex.org/W2169658215","https://openalex.org/W2491820147","https://openalex.org/W2550480663","https://openalex.org/W2582169927","https://openalex.org/W2599383895","https://openalex.org/W2754002142","https://openalex.org/W2789094243","https://openalex.org/W2794521141","https://openalex.org/W2921709033","https://openalex.org/W2953208595","https://openalex.org/W2972509273","https://openalex.org/W3038466239"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062","https://openalex.org/W4380081032"],"abstract_inverted_index":{"In":[0,41],"recent":[1],"years,":[2],"single-cell":[3],"RNA":[4],"sequencing":[5,33],"(scRNA-seq)":[6],"technology":[7],"has":[8],"made":[9],"significant":[10],"progress":[11],"in":[12,132],"many":[13],"fields":[14],"and":[15,56,74,77,106,111],"become":[16],"an":[17],"important":[18],"means":[19],"to":[20,25,58,102,121],"study":[21],"cell":[22],"dynamics.":[23],"How":[24],"effectively":[26],"mine":[27],"valuable":[28],"biological":[29],"information":[30],"from":[31],"these":[32,98],"data":[34],"is":[35,70,86],"a":[36],"topic":[37],"worthy":[38],"of":[39,125,128],"researching.":[40],"this":[42],"paper,":[43],"two":[44,99,134],"new":[45,100],"methods":[46,101],"based":[47,71,87],"on":[48,72,88,109],"traditional":[49],"principal":[50],"component":[51],"analysis":[52],"(PCA)":[53],"are":[54,119],"proposed":[55],"used":[57],"scRNA-seq":[59,104],"data.":[60],"The":[61],"first":[62],"method":[63,79],"named":[64,80],"dual":[65,82],"graph":[66],"regularized":[67],"PCA":[68,84],"(DGPPCA)":[69],"Frobenius-norm":[73],"L2,p-norm":[75],"constraints,":[76],"the":[78,81,89,114,123,126,133],"graph-regularization":[83],"(DG2PPCA)":[85],"nonconvex":[90],"proximal":[91],"Lp-norm":[92],"(":[93],"02,p-norm":[94],"constraints.":[95],"We":[96],"apply":[97],"five":[103],"datasets,":[105],"perform":[107],"bi-clustering":[108],"genes":[110],"samples":[112],"at":[113],"same":[115],"time.":[116],"Extensive":[117],"experiments":[118],"conducted":[120],"explore":[122],"influence":[124],"combination":[127],"different":[129],"norm":[130],"constraints":[131],"optimization":[135],"models.":[136]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
