{"id":"https://openalex.org/W3128448132","doi":"https://doi.org/10.1109/bibm49941.2020.9313478","title":"A robust single cell clustering method based on subspace learning and partial imputation","display_name":"A robust single cell clustering method based on subspace learning and partial imputation","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3128448132","doi":"https://doi.org/10.1109/bibm49941.2020.9313478","mag":"3128448132"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313478","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/A5044328870","display_name":"Ruiqing Zheng","orcid":"https://orcid.org/0000-0001-6372-6798"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqing Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032008468","display_name":"Zhenlan Liang","orcid":"https://orcid.org/0000-0001-6556-071X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlan Liang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077069371","display_name":"Xiangmao Meng","orcid":"https://orcid.org/0000-0002-7966-551X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmao Meng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101821198","display_name":"Yu Tian","orcid":"https://orcid.org/0000-0003-2260-6786"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Tian","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100719013","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-0188-1394"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"145"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9588000178337097,"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":0.946399986743927,"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":0.7971441149711609},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7547130584716797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6813498735427856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.571380078792572},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5400669574737549},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5068874955177307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5008232593536377},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47788870334625244},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.45435962080955505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3837057948112488},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.13955745100975037},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09957414865493774}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7971441149711609},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7547130584716797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6813498735427856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.571380078792572},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5400669574737549},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5068874955177307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5008232593536377},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47788870334625244},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.45435962080955505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3837057948112488},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.13955745100975037},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09957414865493774},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313478","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1981641790","https://openalex.org/W2033995502","https://openalex.org/W2109890799","https://openalex.org/W2132914434","https://openalex.org/W2164278908","https://openalex.org/W2337733832","https://openalex.org/W2339449699","https://openalex.org/W2523620612","https://openalex.org/W2789949350","https://openalex.org/W2792647356","https://openalex.org/W2792693509","https://openalex.org/W2794480084","https://openalex.org/W2805410771","https://openalex.org/W2883778176","https://openalex.org/W2907783748","https://openalex.org/W2918882492","https://openalex.org/W2927507212","https://openalex.org/W2950104637","https://openalex.org/W2950548777","https://openalex.org/W2951506174","https://openalex.org/W2952303649","https://openalex.org/W2953251392","https://openalex.org/W2955686125","https://openalex.org/W3003807737","https://openalex.org/W3009560560","https://openalex.org/W3022474557","https://openalex.org/W3044842300","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Cell":[0],"heterogeneity":[1],"analysis":[2],"is":[3,38,139],"an":[4],"important":[5],"and":[6,33,65,78,90,127],"urgent":[7],"task":[8,42],"in":[9],"single":[10,57,110],"cell":[11,15,58,111],"data":[12,84],"research.":[13],"Numerous":[14],"type":[16],"identification":[17],"methods":[18,113],"have":[19],"been":[20],"proposed":[21],"to":[22,27,43,85],"address":[23],"the":[24,28,45,80,99,135,157],"issue.":[25],"Due":[26],"high":[29],"rate":[30],"of":[31,48,82,93,102],"dropout":[32],"complex":[34],"biological":[35],"background,":[36],"it":[37,106],"still":[39],"a":[40,55,72],"challenging":[41],"obtain":[44],"accurate":[46,126],"clusters":[47],"cells.":[49],"In":[50],"this":[51],"study,":[52],"we":[53,104],"propose":[54],"robust":[56,128],"clustering":[59,100,112,129],"method":[60,77],"based":[61],"on":[62,114,134,141],"subspace":[63],"learning":[64],"partial":[66],"imputation,":[67],"called":[68],"RCSLI.":[69],"RCSLI":[70,123,155],"incorporates":[71],"modified":[73],"variable":[74],"genes":[75,151],"selection":[76],"utilizes":[79],"self-expression":[81],"scRNA-seq":[83,116],"learn":[86],"sparse":[87],"cell-to-cell":[88],"similarity":[89],"impute":[91],"part":[92],"missing":[94],"expression":[95],"values.":[96],"To":[97],"evaluate":[98],"performance":[101],"RCSLI,":[103],"compare":[105],"with":[107],"nine":[108],"state-of-the-art":[109],"eight":[115],"datasets.":[117],"The":[118,131,144],"experimental":[119],"results":[120,146],"show":[121,154],"that":[122],"gets":[124],"more":[125],"results.":[130],"imputation":[132],"impact":[133],"specific":[136],"gene":[137],"markers":[138],"evaluated":[140],"PBMC":[142],"data.":[143],"classification":[145],"by":[147],"taking":[148],"these":[149],"marker":[150],"as":[152],"predictors":[153],"recovers":[156],"real":[158],"dropouts,":[159],"meanwhile,":[160],"introduces":[161],"less":[162],"noise.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}