{"id":"https://openalex.org/W4321483896","doi":"https://doi.org/10.1109/jbhi.2023.3247723","title":"A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis","display_name":"A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321483896","doi":"https://doi.org/10.1109/jbhi.2023.3247723","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027680"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3247723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3247723","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5037394161","display_name":"Tian-Jing Qiao","orcid":"https://orcid.org/0000-0002-0619-1202"},"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":"Tian-Jing Qiao","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-0619-1202","affiliations":[{"raw_affiliation_string":"School of Computer Science, 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 Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0001-6104-2149","affiliations":[{"raw_affiliation_string":"School of Computer Science, 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":"Junliang Shang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-8488-2228","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, 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":"Shasha Yuan","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0003-4792-9880","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064185915","display_name":"Chun-Hou Zheng","orcid":"https://orcid.org/0000-0002-2695-1926"},"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":"Chun-Hou Zheng","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-2695-1926","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100347490","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0003-3934-0435"},"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, China"],"raw_orcid":"https://orcid.org/0000-0003-3934-0435","affiliations":[{"raw_affiliation_string":"School of Computer Science, 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":1.0235,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73383244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"27","issue":"5","first_page":"2575","last_page":"2584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9998999834060669,"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/T11289","display_name":"Single-cell and spatial transcriptomics","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/T10773","display_name":"Extracellular vesicles in disease","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/T10062","display_name":"MicroRNA in disease regulation","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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":0.801626443862915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684997081756592},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5476561784744263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5274940729141235},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5150734782218933},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.5143214464187622},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4810781180858612},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4806738793849945},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4673718810081482},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4665244519710541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4615834355354309},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43400582671165466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4331991970539093},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3101036548614502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23910239338874817},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08195498585700989}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.801626443862915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684997081756592},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5476561784744263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5274940729141235},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5150734782218933},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.5143214464187622},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4810781180858612},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4806738793849945},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4673718810081482},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4665244519710541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4615834355354309},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43400582671165466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4331991970539093},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3101036548614502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23910239338874817},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08195498585700989},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","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":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3247723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3247723","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37027680","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027680","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1350247206","display_name":null,"funder_award_id":"62172254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1659441718","display_name":null,"funder_award_id":"62172253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6334930974","display_name":"\u590d\u6742\u75be\u75c5\u5168\u57fa\u56e0\u7ec4SNP\u9ad8\u9636\u4e92\u4f5c\u6a21\u5f0f\u7684\u7f51\u7edc\u6316\u6398\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":55,"referenced_works":["https://openalex.org/W1552434751","https://openalex.org/W1580018887","https://openalex.org/W1967489571","https://openalex.org/W1976130596","https://openalex.org/W1979283544","https://openalex.org/W1986007546","https://openalex.org/W1990847810","https://openalex.org/W1997201895","https://openalex.org/W1997888071","https://openalex.org/W2016430576","https://openalex.org/W2023887100","https://openalex.org/W2051658465","https://openalex.org/W2065220650","https://openalex.org/W2067655607","https://openalex.org/W2068881679","https://openalex.org/W2089468765","https://openalex.org/W2096252835","https://openalex.org/W2103972604","https://openalex.org/W2111882541","https://openalex.org/W2121690903","https://openalex.org/W2132914434","https://openalex.org/W2135029798","https://openalex.org/W2137220579","https://openalex.org/W2145152441","https://openalex.org/W2149573463","https://openalex.org/W2157305458","https://openalex.org/W2165533158","https://openalex.org/W2165874743","https://openalex.org/W2187089797","https://openalex.org/W2231058499","https://openalex.org/W2233807436","https://openalex.org/W2307567449","https://openalex.org/W2337733832","https://openalex.org/W2598326928","https://openalex.org/W2612502013","https://openalex.org/W2743416243","https://openalex.org/W2786672974","https://openalex.org/W2789949350","https://openalex.org/W2804460316","https://openalex.org/W2884721421","https://openalex.org/W2918882492","https://openalex.org/W2949177718","https://openalex.org/W2953251392","https://openalex.org/W2972689486","https://openalex.org/W3003444384","https://openalex.org/W3019913914","https://openalex.org/W3022825011","https://openalex.org/W3164420796","https://openalex.org/W4205861571","https://openalex.org/W4295996379","https://openalex.org/W6680012447","https://openalex.org/W6684430665","https://openalex.org/W6684578312","https://openalex.org/W6748816842","https://openalex.org/W6806246740"],"related_works":["https://openalex.org/W1979094538","https://openalex.org/W2287240295","https://openalex.org/W2111119584","https://openalex.org/W4382052822","https://openalex.org/W2606552659","https://openalex.org/W4301002638","https://openalex.org/W2311450085","https://openalex.org/W3035964814","https://openalex.org/W3124860551","https://openalex.org/W2309230723"],"abstract_inverted_index":{"Single-cell":[0],"RNA":[1],"sequencing":[2],"(scRNA-seq)":[3],"technology":[4],"can":[5],"provide":[6],"expression":[7],"profile":[8],"of":[9,31,42,96,134],"single":[10],"cells,":[11,175],"which":[12,200],"propels":[13],"biological":[14],"research":[15],"into":[16,184],"a":[17,28,46,57,100],"new":[18],"chapter.":[19],"Clustering":[20],"individual":[21],"cells":[22],"based":[23,79,209],"on":[24,80,210,221],"their":[25],"transcriptome":[26],"is":[27,53,84,159,191],"critical":[29],"objective":[30],"scRNA-seq":[32,43,61,198,223],"data":[33,44,62],"analysis.":[34],"However,":[35],"the":[36,75,124,130,135,154,162,167,181,185,207,211,237],"high-dimensional,":[37],"sparse":[38],"and":[39,71,90,117,146,176,203,229,244],"noisy":[40],"nature":[41],"pose":[45],"challenge":[47],"to":[48,55,65,73,108,128,141,152,170],"single-cell":[49],"clustering.":[50],"Therefore,":[51],"it":[52],"urgent":[54],"develop":[56],"clustering":[58,88,104,242],"method":[59,78,140,239],"targeting":[60],"characteristics.":[63],"Due":[64],"its":[66],"powerful":[67],"subspace":[68,76,103,112],"learning":[69],"capability":[70],"robustness":[72],"noise,":[74],"segmentation":[77],"low-rank":[81,102],"representation":[82],"(LRR)":[83],"broadly":[85],"used":[86],"in":[87,150],"researches":[89],"achieves":[91,240],"satisfactory":[92],"results.":[93],"In":[94,206],"view":[95],"this,":[97],"we":[98,121,165,217],"propose":[99],"personalized":[101],"method,":[105],"namely":[106],"PLRLS,":[107,216],"learn":[109],"more":[110],"accurate":[111],"structures":[113],"from":[114,215],"both":[115],"global":[116],"local":[118,125,131],"perspectives.":[119],"Specifically,":[120],"first":[122],"introduce":[123,177],"structure":[126,132],"constraint":[127,183],"capture":[129],"information":[133,157,173,179],"data,":[136,199],"while":[137],"helping":[138],"our":[139],"obtain":[142],"better":[143],"inter-cluster":[144],"separability":[145],"intra-cluster":[147],"compactness.":[148],"Then,":[149],"order":[151],"retain":[153],"important":[155],"similarity":[156,172,182,194],"that":[158,236],"ignored":[160],"by":[161],"LRR":[163,186,212],"model,":[164],"utilize":[166],"fractional":[168,189],"function":[169,190],"extract":[171],"between":[174],"this":[178],"as":[180],"framework.":[187],"The":[188],"an":[192],"efficient":[193],"measure":[195],"designed":[196],"for":[197],"has":[201],"theoretical":[202],"practical":[204],"implications.":[205],"end,":[208],"matrix":[213],"learned":[214],"perform":[218],"downstream":[219],"analyses":[220],"real":[222],"datasets,":[224],"including":[225],"spectral":[226],"clustering,":[227],"visualization":[228],"marker":[230],"gene":[231],"identification.":[232],"Comparative":[233],"experiments":[234],"show":[235],"proposed":[238],"superior":[241],"accuracy":[243],"robustness.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}