{"id":"https://openalex.org/W4311911704","doi":"https://doi.org/10.1371/journal.pcbi.1010772","title":"scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data","display_name":"scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data","publication_year":2022,"publication_date":"2022-12-19","ids":{"openalex":"https://openalex.org/W4311911704","doi":"https://doi.org/10.1371/journal.pcbi.1010772","pmid":"https://pubmed.ncbi.nlm.nih.gov/36534702"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1010772","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010772","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1010772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072769145","display_name":"HaiYun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HaiYun Wang","raw_affiliation_strings":["College of Mathematics and System Sciences, Xinjiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and System Sciences, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078955823","display_name":"Jianping Zhao","orcid":"https://orcid.org/0000-0002-8486-744X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"JianPing Zhao","raw_affiliation_strings":["College of Mathematics and System Sciences, Xinjiang University, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0002-8486-744X","affiliations":[{"raw_affiliation_string":"College of Mathematics and System Sciences, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"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/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"ChunHou Zheng","raw_affiliation_strings":["School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071754273","display_name":"Yansen Su","orcid":"https://orcid.org/0000-0002-3855-7133"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"YanSen Su","raw_affiliation_strings":["School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064185915","https://openalex.org/A5071754273","https://openalex.org/A5078955823"],"corresponding_institution_ids":["https://openalex.org/I143868143","https://openalex.org/I96908189"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.5949,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83651155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"18","issue":"12","first_page":"e1010772","last_page":"e1010772"},"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":0.984000027179718,"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":0.9775000214576721,"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":0.8795475959777832},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7059183120727539},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7000443935394287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820023059844971},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5847971439361572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5824372172355652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5000882148742676},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.47519242763519287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4687241315841675},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4496954083442688},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.42923030257225037},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42367666959762573},{"id":"https://openalex.org/keywords/rand-index","display_name":"Rand index","score":0.4191305637359619},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3978305757045746},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.2947218120098114}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8795475959777832},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7059183120727539},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7000443935394287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820023059844971},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5847971439361572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824372172355652},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5000882148742676},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.47519242763519287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4687241315841675},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4496954083442688},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.42923030257225037},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42367666959762573},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.4191305637359619},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3978305757045746},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.2947218120098114},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"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":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":"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":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","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":"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":true},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1010772","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010772","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:36534702","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36534702","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:RePEc:plo:pcbi00:1010772","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010772","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:c27d938bd99a44438d696baf5acab9f3","is_oa":false,"landing_page_url":"https://doaj.org/article/c27d938bd99a44438d696baf5acab9f3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 18, Iss 12, p e1010772 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9810169","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9810169","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1010772","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010772","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G247010507","display_name":null,"funder_award_id":"61873001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5006237592","display_name":null,"funder_award_id":"U19A2064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6112639337","display_name":null,"funder_award_id":"No. U19A2064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6322265744","display_name":null,"funder_award_id":"U19A2064, 61873001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6717469100","display_name":null,"funder_award_id":"No. U19A2064, 61873001","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":48,"referenced_works":["https://openalex.org/W1966119405","https://openalex.org/W1977556410","https://openalex.org/W1979283544","https://openalex.org/W2018050443","https://openalex.org/W2069089843","https://openalex.org/W2089468765","https://openalex.org/W2102212449","https://openalex.org/W2132914434","https://openalex.org/W2135937351","https://openalex.org/W2187089797","https://openalex.org/W2306630387","https://openalex.org/W2523620612","https://openalex.org/W2562003322","https://openalex.org/W2598326928","https://openalex.org/W2740924709","https://openalex.org/W2741943936","https://openalex.org/W2786672974","https://openalex.org/W2800392236","https://openalex.org/W2887326710","https://openalex.org/W2901677030","https://openalex.org/W2937917790","https://openalex.org/W2949067670","https://openalex.org/W2949787092","https://openalex.org/W2950129791","https://openalex.org/W2951381561","https://openalex.org/W2951506174","https://openalex.org/W2953251392","https://openalex.org/W2964074409","https://openalex.org/W2992062578","https://openalex.org/W3007823815","https://openalex.org/W3008739840","https://openalex.org/W3009302866","https://openalex.org/W3039121139","https://openalex.org/W3089021621","https://openalex.org/W3111450319","https://openalex.org/W3123129655","https://openalex.org/W3134128419","https://openalex.org/W3137285774","https://openalex.org/W3162079832","https://openalex.org/W3196630240","https://openalex.org/W3202332579","https://openalex.org/W3212776961","https://openalex.org/W4226462961","https://openalex.org/W4282835974","https://openalex.org/W4283171432","https://openalex.org/W4300672471","https://openalex.org/W6644682428","https://openalex.org/W6685380521"],"related_works":["https://openalex.org/W2111827030","https://openalex.org/W2611629964","https://openalex.org/W2594747375","https://openalex.org/W3035964814","https://openalex.org/W2311450085","https://openalex.org/W3124860551","https://openalex.org/W2953854373","https://openalex.org/W3020292803","https://openalex.org/W4232587025","https://openalex.org/W2965089876"],"abstract_inverted_index":{"Single":[0],"cell":[1,26,45],"RNA":[2],"sequencing":[3],"(scRNA-seq)":[4],"enables":[5],"researchers":[6],"to":[7,52,115,140],"characterize":[8],"transcriptomic":[9],"profiles":[10],"at":[11,61],"the":[12,37,63,132],"single-cell":[13],"resolution":[14],"with":[15],"increasingly":[16],"high":[17,54],"throughput.":[18],"Clustering":[19,28],"is":[20],"a":[21,76,108],"crucial":[22],"step":[23],"in":[24,68],"single":[25,44],"analysis.":[27,138],"analysis":[29,144],"of":[30,41,66,102,110,117,119,134],"transcriptome":[31],"profiled":[32],"by":[33],"scRNA-seq":[34,90,103,111],"can":[35,125],"reveal":[36],"heterogeneity":[38],"and":[39,56,86,97,130,136],"diversity":[40],"cells.":[42],"However,":[43],"study":[46],"still":[47],"remains":[48],"great":[49],"challenges":[50],"due":[51],"its":[53],"noise":[55,84],"dimension.":[57],"Subspace":[58],"clustering":[59,80,98,128,135,152],"aims":[60],"discovering":[62],"intrinsic":[64],"structure":[65],"data":[67,104],"unsupervised":[69],"fashion.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"deep":[77],"sparse":[78],"subspace":[79],"method":[81],"scDSSC":[82,124,146],"combining":[83],"reduction":[85,88],"dimensionality":[87],"for":[89],"data,":[91],"which":[92],"simultaneously":[93],"learns":[94],"feature":[95],"representation":[96],"via":[99],"explicit":[100],"modelling":[101],"generation.":[105],"Experiments":[106],"on":[107],"variety":[109],"datasets":[112],"from":[113],"thousands":[114,118],"tens":[116],"cells":[120],"have":[121],"shown":[122],"that":[123],"significantly":[126],"improve":[127],"performance":[129,153],"facilitate":[131],"interpretability":[133],"downstream":[137],"Compared":[139],"some":[141],"popular":[142],"scRNA-deq":[143],"methods,":[145],"outperformed":[147],"state-of-the-art":[148],"methods":[149],"under":[150],"various":[151],"metrics.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}