{"id":"https://openalex.org/W3101251980","doi":"https://doi.org/10.1186/s12864-020-07007-w","title":"I-Impute: a self-consistent method to impute single cell RNA sequencing data","display_name":"I-Impute: a self-consistent method to impute single cell RNA sequencing data","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3101251980","doi":"https://doi.org/10.1186/s12864-020-07007-w","mag":"3101251980","pmid":"https://pubmed.ncbi.nlm.nih.gov/33208097"},"language":"en","primary_location":{"id":"doi:10.1186/s12864-020-07007-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12864-020-07007-w","pdf_url":"https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-020-07007-w","source":{"id":"https://openalex.org/S28614077","display_name":"BMC Genomics","issn_l":"1471-2164","issn":["1471-2164"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Genomics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-020-07007-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100599551","display_name":"Xikang Feng","orcid":"https://orcid.org/0000-0003-4029-3795"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xikang Feng","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China","School of Software, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008410093","display_name":"Lingxi Chen","orcid":"https://orcid.org/0000-0002-5229-7470"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lingxi Chen","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078321845","display_name":"Zishuai Wang","orcid":"https://orcid.org/0000-0002-4496-8430"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zishuai Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083428910","display_name":"Shuai Cheng Li","orcid":"https://orcid.org/0000-0001-6246-6349"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Shuai Cheng Li","raw_affiliation_strings":["Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China. shuaicli@cityu.edu.hk","Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China. shuaicli@cityu.edu.hk","Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China. shuaicli@cityu.edu.hk","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China. shuaicli@cityu.edu.hk","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083428910"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.3728,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.5649742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"S10","first_page":"618","last_page":"618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9993000030517578,"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":0.9993000030517578,"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":9.999999747378752e-05,"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/T12859","display_name":"Cell Image Analysis Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/imputation","display_name":"Imputation (statistics)","score":0.8965818881988525},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.6376081109046936},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6326454877853394},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6274245381355286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.54600989818573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5051644444465637},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47647330164909363},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.45315787196159363},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.37096351385116577},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3398130536079407},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3206106424331665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3087330162525177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2450864315032959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24273937940597534}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8965818881988525},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.6376081109046936},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6326454877853394},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6274245381355286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.54600989818573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5051644444465637},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47647330164909363},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.45315787196159363},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.37096351385116577},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3398130536079407},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3206106424331665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3087330162525177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2450864315032959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24273937940597534}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12864-020-07007-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12864-020-07007-w","pdf_url":"https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-020-07007-w","source":{"id":"https://openalex.org/S28614077","display_name":"BMC Genomics","issn_l":"1471-2164","issn":["1471-2164"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Genomics","raw_type":"journal-article"},{"id":"pmid:33208097","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33208097","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":"BMC genomics","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/e8a5ae66-da0b-4cd3-8eea-7b38c51e5659","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/e8a5ae66-da0b-4cd3-8eea-7b38c51e5659","pdf_url":"https://scholars.cityu.edu.hk/files/70659908/s12864_020_07007_w.pdf","source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Feng, X, Chen, L, Wang, Z & Li, S C 2020, 'I-Impute : a self-consistent method to impute single cell RNA sequencing data', BMC Genomics, vol. 21, no. Suppl. 10, 618. https://doi.org/10.1186/s12864-020-07007-w","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:390148dc41e4416cbd635a0041b4e657","is_oa":true,"landing_page_url":"https://doaj.org/article/390148dc41e4416cbd635a0041b4e657","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Genomics, Vol 21, Iss S10, Pp 1-9 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7677776","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7677776","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":"BMC Genomics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12864-020-07007-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12864-020-07007-w","pdf_url":"https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-020-07007-w","source":{"id":"https://openalex.org/S28614077","display_name":"BMC Genomics","issn_l":"1471-2164","issn":["1471-2164"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Genomics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7946582735","display_name":null,"funder_award_id":"11257316","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3101251980.pdf","grobid_xml":"https://content.openalex.org/works/W3101251980.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W839653734","https://openalex.org/W1580018887","https://openalex.org/W1967327758","https://openalex.org/W1984883254","https://openalex.org/W1987971958","https://openalex.org/W2013743063","https://openalex.org/W2033403400","https://openalex.org/W2069089843","https://openalex.org/W2069295116","https://openalex.org/W2097360283","https://openalex.org/W2099111195","https://openalex.org/W2109890799","https://openalex.org/W2135937351","https://openalex.org/W2137460766","https://openalex.org/W2152692691","https://openalex.org/W2271499489","https://openalex.org/W2288153033","https://openalex.org/W2523369352","https://openalex.org/W2551194178","https://openalex.org/W2610509384","https://openalex.org/W2625783081","https://openalex.org/W2775443868","https://openalex.org/W2792693509","https://openalex.org/W2800852522","https://openalex.org/W2808837841","https://openalex.org/W2889213939","https://openalex.org/W2891467507","https://openalex.org/W2901677030","https://openalex.org/W2902447942","https://openalex.org/W2924067995","https://openalex.org/W2931036699","https://openalex.org/W2949067670","https://openalex.org/W2951217100","https://openalex.org/W2951381561","https://openalex.org/W2952303649","https://openalex.org/W2952838175","https://openalex.org/W3105265400","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"BACKGROUND:":[0],"Single-cell":[1],"RNA-sequencing":[2],"(scRNA-seq)":[3],"is":[4,107,114,165],"becoming":[5],"indispensable":[6],"in":[7,14,79,134,158,169],"the":[8,22,80,95,104,121,126,168,175,186,213,224,229,254],"study":[9],"of":[10,21,56,128,259],"cell-specific":[11],"transcriptomes.":[12],"However,":[13],"scRNA-seq":[15,38,149],"techniques,":[16],"only":[17],"a":[18,99,131,144,162],"small":[19],"fraction":[20],"genes":[23],"are":[24,60],"captured":[25,244],"due":[26],"to":[27,47,97,108,147,211],"\"dropout\"":[28],"events.":[29],"These":[30],"dropout":[31,49,156,181],"events":[32,50],"require":[33],"intensive":[34],"treatment":[35],"when":[36],"analyzing":[37],"data.":[39,53,122,150],"For":[40],"example,":[41],"imputation":[42,58,96,105,164,250],"tools":[43,59],"have":[44],"been":[45],"proposed":[46],"estimate":[48],"and":[51,155,190,206,236],"de-noise":[52],"The":[54],"performance":[55],"these":[57],"often":[61],"evaluated,":[62],"or":[63,118],"fine-tuned,":[64],"using":[65],"various":[66],"clustering":[67,231],"criteria":[68,133],"based":[69,241],"on":[70,222,242],"ground-truth":[71],"cell":[72,85,218],"subgroup":[73,86],"labels.":[74],"This":[75],"limits":[76],"their":[77],"effectiveness":[78],"cases":[81],"where":[82],"we":[83,141,193],"lack":[84],"knowledge.":[87],"We":[88,124],"consider":[89],"an":[90],"alternative":[91],"strategy":[92,240],"which":[93],"requires":[94],"follow":[98],"\"self-consistency\"":[100,129],"principle;":[101],"that":[102],"is,":[103],"process":[106],"refine":[109],"its":[110],"results":[111,251],"until":[112,161],"there":[113],"no":[115],"internal":[116],"inconsistency":[117],"dropouts":[119],"from":[120],"RESULTS:":[123],"propose":[125],"use":[127],"as":[130],"main":[132],"performing":[135],"imputation.":[136],"To":[137],"demonstrate":[138],"this":[139],"principle":[140],"devised":[142],"I-Impute,":[143,248],"\"self-consistent\"":[145],"method,":[146,247],"impute":[148],"I-Impute":[151,173,215,260],"optimizes":[152],"continuous":[153],"similarities":[154],"probabilities,":[157],"iterative":[159],"refinements":[160],"self-consistent":[163],"reached.":[166],"On":[167],"silico":[170],"data":[171],"sets,":[172],"exhibited":[174,216],"highest":[176,230],"Pearson":[177],"correlations":[178],"for":[179],"different":[180],"rates":[182],"consistently":[183],"compared":[184,233],"with":[185,234],"state-of-art":[187],"methods":[188],"SAVER":[189,235],"scImpute.":[191,237],"Furthermore,":[192],"collected":[194],"three":[195,225],"wetlab":[196],"datasets,":[197],"mouse":[198],"bladder":[199],"cells":[200,204,209],"dataset,":[201,205,210],"embryonic":[202],"stem":[203],"aortic":[207],"leukocyte":[208],"evaluate":[212],"tools.":[214,256],"feasible":[217],"subpopulation":[219],"discovery":[220],"efficacy":[221],"all":[223],"datasets.":[226],"It":[227],"achieves":[228],"accuracy":[232],"CONCLUSIONS:":[238],"A":[239],"\"self-consistency\",":[243],"through":[245],"our":[246],"gave":[249],"better":[252],"than":[253],"state-of-the-art":[255],"Source":[257],"code":[258],"can":[261],"be":[262],"accessed":[263],"at":[264],"https://github.com/xikanfeng2/I-Impute":[265],".":[266]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
