{"id":"https://openalex.org/W2916779758","doi":"https://doi.org/10.1089/cmb.2018.0236","title":"Locality Sensitive Imputation for Single Cell RNA-Seq Data","display_name":"Locality Sensitive Imputation for Single Cell RNA-Seq Data","publication_year":2019,"publication_date":"2019-02-20","ids":{"openalex":"https://openalex.org/W2916779758","doi":"https://doi.org/10.1089/cmb.2018.0236","mag":"2916779758","pmid":"https://pubmed.ncbi.nlm.nih.gov/30785309","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/6703247"},"language":"en","primary_location":{"id":"doi:10.1089/cmb.2018.0236","doi":"https://doi.org/10.1089/cmb.2018.0236","is_oa":false,"landing_page_url":"https://doi.org/10.1089/cmb.2018.0236","pdf_url":null,"source":{"id":"https://openalex.org/S78571599","display_name":"Journal of Computational Biology","issn_l":"1066-5277","issn":["1066-5277","1557-8666"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443","https://openalex.org/P4310320017"],"host_organization_lineage_names":["Mary Ann Liebert, Inc.","SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Biology","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.biorxiv.org/content/biorxiv/early/2018/04/01/291807.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018308989","display_name":"Marmar R. Moussa","orcid":"https://orcid.org/0000-0003-0574-6656","observed_orcids":["https://orcid.org/0000-0003-0574-6656"]},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marmar Moussa","raw_affiliation_strings":["Computer Science and Engineering Department, University of Connecticut, Storrs, Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University of Connecticut, Storrs, Connecticut","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014788373","display_name":"Ion M\u0103ndoiu","orcid":"https://orcid.org/0000-0002-4818-0237","observed_orcids":["https://orcid.org/0000-0002-4818-0237"]},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ion I. M\u0103ndoiu","raw_affiliation_strings":["Computer Science and Engineering Department, University of Connecticut, Storrs, Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University of Connecticut, Storrs, Connecticut","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018308989"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":1.0656,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.73914878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"26","issue":"8","first_page":"822","last_page":"835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9994999766349792,"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":0.9994999766349792,"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":0.00019999999494757503,"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/T10015","display_name":"Genomics and Phylogenetic Studies","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"}}],"keywords":[{"id":"https://openalex.org/keywords/single-cell-rna-sequencing","display_name":"single-cell RNA sequencing","score":0.8529999852180481},{"id":"https://openalex.org/keywords/gene-expression-imputation","display_name":"gene expression imputation","score":0.7630000114440918},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"locality-sensitive hashing","score":0.8500000238418579},{"id":"https://openalex.org/keywords/iterative-imputation","display_name":"iterative imputation","score":0.8790000081062317},{"id":"https://openalex.org/keywords/sequencing-depth","display_name":"sequencing depth","score":0.9419999718666077},{"id":"https://openalex.org/keywords/comparison-of-imputation-methods","display_name":"imputation method comparison","score":0.6029999852180481}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8695638179779053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540555953979492},{"id":"https://openalex.org/C107397762","wikidata":"https://www.wikidata.org/wiki/Q2542347","display_name":"RNA-Seq","level":5,"score":0.546859860420227},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4787037670612335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4671967029571533},{"id":"https://openalex.org/C162317418","wikidata":"https://www.wikidata.org/wiki/Q252857","display_name":"Transcriptome","level":4,"score":0.32006561756134033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23697304725646973},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2206350564956665},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15294170379638672},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.1142376959323883},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.08442032337188721},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07937309145927429},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000081246","descriptor_name":"RNA-Seq","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":true},{"descriptor_ui":"D030561","descriptor_name":"Databases, Nucleic Acid","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":4,"locations":[{"id":"doi:10.1089/cmb.2018.0236","doi":"https://doi.org/10.1089/cmb.2018.0236","is_oa":false,"landing_page_url":"https://doi.org/10.1089/cmb.2018.0236","pdf_url":null,"source":{"id":"https://openalex.org/S78571599","display_name":"Journal of Computational Biology","issn_l":"1066-5277","issn":["1066-5277","1557-8666"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443","https://openalex.org/P4310320017"],"host_organization_lineage_names":["Mary Ann Liebert, Inc.","SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Biology","raw_type":"journal-article"},{"id":"doi:10.1101/291807","doi":"https://doi.org/10.1101/291807","is_oa":true,"landing_page_url":"https://doi.org/10.1101/291807","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2018/04/01/291807.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},{"id":"pmh:oai:pubmedcentral.nih.gov:6703247","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6703247","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,"listed_in":[],"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":"J Comput Biol","raw_type":"Text"},{"id":"pmid:30785309","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30785309","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,"listed_in":[],"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":"Journal of computational biology : a journal of computational molecular cell biology","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1101/291807","doi":"https://doi.org/10.1101/291807","is_oa":true,"landing_page_url":"https://doi.org/10.1101/291807","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2018/04/01/291807.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4981134647","display_name":"Homeostatic regulation of NG2 cell dynamics","funder_award_id":"R01NS073425","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G9000919492","display_name":"Inhibitory Cell Types and Circuits in the Lateral Hypothalamus","funder_award_id":"R01MH112739","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2916779758.pdf"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1980425490","https://openalex.org/W2069089843","https://openalex.org/W2093253451","https://openalex.org/W2096863518","https://openalex.org/W2140235037","https://openalex.org/W2150376021","https://openalex.org/W2211603551","https://openalex.org/W2460637143","https://openalex.org/W2580665472","https://openalex.org/W2624530800","https://openalex.org/W2751468300","https://openalex.org/W2792693509","https://openalex.org/W2887766567","https://openalex.org/W2952303649","https://openalex.org/W4285719527","https://openalex.org/W4300601563"],"related_works":["https://openalex.org/W2792693509","https://openalex.org/W6930088841","https://openalex.org/W3009560560","https://openalex.org/W4411780163","https://openalex.org/W3166454451","https://openalex.org/W4389220058","https://openalex.org/W3108294659","https://openalex.org/W3196685794","https://openalex.org/W4416650183","https://openalex.org/W7129058994"],"abstract_inverted_index":{"Abstract":[0],"One":[1],"of":[2,23,26,34,46,79,83],"the":[3,14,24,77],"most":[4],"notable":[5],"challenges":[6],"in":[7],"single":[8],"cell":[9,28,95],"RNA-Seq":[10],"data":[11],"analysis":[12],"is":[13,29],"so":[15],"called":[16],"drop-out":[17],"effect,":[18],"where":[19],"only":[20],"a":[21,62,80],"fraction":[22],"transcriptome":[25],"each":[27],"captured.":[30],"The":[31],"random":[32],"nature":[33],"drop-outs,":[35],"however,":[36],"makes":[37],"it":[38],"possible":[39],"to":[40],"consider":[41],"imputation":[42,58,65],"methods":[43,59,87],"as":[44],"means":[45],"correcting":[47],"for":[48],"drop-outs.":[49],"In":[50],"this":[51],"paper":[52],"we":[53],"study":[54],"some":[55],"existing":[56,84],"scRNA-Seq":[57,90],"and":[60,85],"propose":[61],"novel":[63],"iterative":[64],"approach":[66],"based":[67],"on":[68,88],"efficiently":[69],"computing":[70],"highly":[71],"similar":[72],"cells.":[73],"We":[74],"then":[75],"present":[76],"results":[78],"comprehensive":[81],"assessment":[82],"proposed":[86],"real":[89],"datasets":[91],"with":[92],"varying":[93],"per":[94],"sequencing":[96],"depth.":[97]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-03-02T00:00:00"}
