{"id":"https://openalex.org/W4282580265","doi":"https://doi.org/10.1371/journal.pcbi.1010129","title":"HiCImpute: A Bayesian hierarchical model for identifying structural zeros and enhancing single cell Hi-C data","display_name":"HiCImpute: A Bayesian hierarchical model for identifying structural zeros and enhancing single cell Hi-C data","publication_year":2022,"publication_date":"2022-06-13","ids":{"openalex":"https://openalex.org/W4282580265","doi":"https://doi.org/10.1371/journal.pcbi.1010129","pmid":"https://pubmed.ncbi.nlm.nih.gov/35696429"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1010129","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010129","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.1010129","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026630339","display_name":"Qing Xie","orcid":"https://orcid.org/0000-0003-1926-1457"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Xie","raw_affiliation_strings":["Interdisciplinary Ph.D. Program in Biostatistics, Ohio State University, Columbus, Ohio, United State of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Ph.D. Program in Biostatistics, Ohio State University, Columbus, Ohio, United State of America","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017037724","display_name":"Chenggong Han","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenggong Han","raw_affiliation_strings":["Interdisciplinary Ph.D. Program in Biostatistics, Ohio State University, Columbus, Ohio, United State of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Ph.D. Program in Biostatistics, Ohio State University, Columbus, Ohio, United State of America","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066355670","display_name":"Victor X. Jin","orcid":"https://orcid.org/0000-0002-8765-3471"},"institutions":[{"id":"https://openalex.org/I165951966","display_name":"The University of Texas Health Science Center at San Antonio","ror":"https://ror.org/02f6dcw23","country_code":"US","type":"education","lineage":["https://openalex.org/I165951966"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor Jin","raw_affiliation_strings":["Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, Texas, United State of America"],"raw_orcid":"https://orcid.org/0000-0002-8765-3471","affiliations":[{"raw_affiliation_string":"Department of Molecular Medicine, University of Texas Health Science Center, San Antonio, Texas, United State of America","institution_ids":["https://openalex.org/I165951966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091196188","display_name":"Shili Lin","orcid":"https://orcid.org/0000-0003-2467-4491"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shili Lin","raw_affiliation_strings":["Department of Statistics, Ohio State University, Columbus, Ohio, United State of America","Interdisciplinary Ph.D. Program in Biostatistics, Ohio State University, Columbus, Ohio, United State of America","Translational Data Analytics Institute, Ohio State University, Columbus, Ohio, United State of America"],"raw_orcid":"https://orcid.org/0000-0003-2467-4491","affiliations":[{"raw_affiliation_string":"Department of Statistics, Ohio State University, Columbus, Ohio, United State of America","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Interdisciplinary Ph.D. Program in Biostatistics, Ohio State University, Columbus, Ohio, United State of America","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Translational Data Analytics Institute, Ohio State University, Columbus, Ohio, United State of America","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091196188"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.0416,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74736633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"6","first_page":"e1010129","last_page":"e1010129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9997000098228455,"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":0.9997000098228455,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9958999752998352,"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":0.9901000261306763,"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/imputation","display_name":"Imputation (statistics)","score":0.6603925228118896},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6454331874847412},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5837452411651611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49171143770217896},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4679357409477234},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4667855501174927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4503454566001892},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.44364726543426514},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42758437991142273},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4133414030075073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3282625377178192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28086787462234497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15946358442306519}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6603925228118896},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6454331874847412},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5837452411651611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49171143770217896},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4679357409477234},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4667855501174927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4503454566001892},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.44364726543426514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42758437991142273},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4133414030075073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3282625377178192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28086787462234497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15946358442306519}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002843","descriptor_name":"Chromatin","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002843","descriptor_name":"Chromatin","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002843","descriptor_name":"Chromatin","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002843","descriptor_name":"Chromatin","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002875","descriptor_name":"Chromosomes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002875","descriptor_name":"Chromosomes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002875","descriptor_name":"Chromosomes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002875","descriptor_name":"Chromosomes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062206","descriptor_name":"Spatial Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062206","descriptor_name":"Spatial Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062206","descriptor_name":"Spatial Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062206","descriptor_name":"Spatial Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1010129","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010129","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:35696429","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35696429","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:pcbi00:1010129","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010129","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:c59f089cab6a40d6a25592b355d26b3b","is_oa":true,"landing_page_url":"https://doaj.org/article/c59f089cab6a40d6a25592b355d26b3b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 18, Iss 6, p e1010129 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9232133","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9232133","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.1010129","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010129","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/G5252219705","display_name":null,"funder_award_id":"R01GM114142","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W206985495","https://openalex.org/W1991104796","https://openalex.org/W2044606399","https://openalex.org/W2073504534","https://openalex.org/W2110387447","https://openalex.org/W2137801136","https://openalex.org/W2231058499","https://openalex.org/W2599773520","https://openalex.org/W2602582876","https://openalex.org/W2616624651","https://openalex.org/W2751468300","https://openalex.org/W2765849873","https://openalex.org/W2784581489","https://openalex.org/W2792693509","https://openalex.org/W2803256172","https://openalex.org/W2889474202","https://openalex.org/W2917897282","https://openalex.org/W2920923857","https://openalex.org/W2921084634","https://openalex.org/W2949148097","https://openalex.org/W2949773289","https://openalex.org/W2950104637","https://openalex.org/W2950976066","https://openalex.org/W2951217100","https://openalex.org/W2951559295","https://openalex.org/W2952117848","https://openalex.org/W2952940726","https://openalex.org/W2955744786","https://openalex.org/W2958746550","https://openalex.org/W2969948459","https://openalex.org/W2972380686","https://openalex.org/W2973628505","https://openalex.org/W3007609047","https://openalex.org/W3099404564","https://openalex.org/W3105147936","https://openalex.org/W3112215370","https://openalex.org/W3159506143","https://openalex.org/W4235169531"],"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":{"Single":[0],"cell":[1,8,10,17,122,241],"Hi-C":[2,18,123],"techniques":[3],"enable":[4],"one":[5],"to":[6,9,33,54,71,244,261],"study":[7],"variability":[11],"in":[12,119,144,167,277],"chromatin":[13],"interactions.":[14],"However,":[15],"single":[16,121,188],"(scHi-C)":[19],"data":[20,136,157,178,231,247,249,258],"suffer":[21],"severely":[22],"from":[23,186,233],"sparsity,":[24],"that":[25,44,82,154,165],"is,":[26],"the":[27,38,42,61,120,126,210,262,269,278],"existence":[28],"of":[29,60,105,113,128,175,201,203,212,225,240,264,268,273],"excess":[30],"zeros":[31,47,76,88,114,164,217],"due":[32,53,70],"insufficient":[34,72],"sequencing":[35,73],"depth.":[36],"Complicating":[37],"matter":[39],"further":[40],"is":[41,91],"fact":[43,168],"not":[45,57],"all":[46],"are":[48,52,68,166,195],"created":[49],"equal:":[50],"some":[51],"loci":[55,81],"truly":[56],"interacting":[58],"because":[59],"underlying":[62],"biological":[63],"mechanism":[64],"(structural":[65],"zeros);":[66],"others":[67],"indeed":[69],"depth":[74],"(sampling":[75],"or":[77,248],"dropouts),":[78],"especially":[79],"for":[80,214,222],"interact":[83],"infrequently.":[84],"Differentiating":[85],"between":[86,109],"structural":[87,169,216],"and":[89,103,190,205,221,275],"dropouts":[90],"important":[92],"since":[93],"correct":[94],"inference":[95],"would":[96],"improve":[97],"downstream":[98],"analyses":[99,202,229],"such":[100,194],"as":[101,134],"clustering":[102,239],"discovery":[104],"subtypes.":[106],"Nevertheless,":[107],"distinguishing":[108],"these":[110],"two":[111],"types":[112,242],"has":[115,130],"received":[116],"little":[117],"attention":[118],"literature,":[124],"where":[125],"issue":[127],"sparsity":[129],"been":[131],"addressed":[132],"mainly":[133],"a":[135,150],"quality":[137,158],"improvement":[138,159],"problem.":[139],"To":[140],"fill":[141],"this":[142,145],"gap,":[143],"paper,":[146],"we":[147,208],"propose":[148],"HiCImpute,":[149],"Bayesian":[151],"hierarchical":[152],"model":[153],"goes":[155],"beyond":[156],"by":[160,251],"also":[161,183],"identifying":[162,215],"observed":[163,246],"zeros.":[170],"HiCImpute":[171,213,234],"takes":[172],"spatial":[173],"dependencies":[174],"scHi-C":[176],"2D":[177],"structure":[179],"into":[180],"account":[181],"while":[182],"borrowing":[184],"information":[185],"similar":[187],"cells":[189,272],"bulk":[191],"data,":[192,207],"when":[193],"available.":[196],"Through":[197],"an":[198],"extensive":[199],"set":[200],"synthetic":[204],"real":[206],"demonstrate":[209],"ability":[211],"with":[218],"high":[219],"sensitivity,":[220],"accurate":[223,238],"imputation":[224],"dropout":[226],"values.":[227],"Downstream":[228],"using":[230,245],"improved":[232,250],"yielded":[235],"much":[236],"more":[237],"compared":[243],"several":[252],"comparison":[253],"methods.":[254],"Most":[255],"significantly,":[256],"HiCImpute-improved":[257],"have":[259],"led":[260],"identification":[263],"subtypes":[265],"within":[266],"each":[267],"excitatory":[270],"neuronal":[271],"L4":[274],"L5":[276],"prefrontal":[279],"cortex.":[280]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}