{"id":"https://openalex.org/W4380576938","doi":"https://doi.org/10.1093/bib/bbad222","title":"Deep enhanced constraint clustering based on contrastive learning for scRNA-seq data","display_name":"Deep enhanced constraint clustering based on contrastive learning for scRNA-seq data","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4380576938","doi":"https://doi.org/10.1093/bib/bbad222","pmid":"https://pubmed.ncbi.nlm.nih.gov/37313714"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbad222","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad222","pdf_url":"https://academic.oup.com/bib/article-pdf/24/4/bbad222/50916922/bbad222.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/bib/article-pdf/24/4/bbad222/50916922/bbad222.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076453110","display_name":"Yanglan Gan","orcid":"https://orcid.org/0000-0001-5931-9006"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanglan Gan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University , 201600, Shanghai , China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University , 201600, Shanghai , China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650503","display_name":"Yuhan Chen","orcid":"https://orcid.org/0000-0002-3307-2903"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Chen","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University , 201600, Shanghai , China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University , 201600, Shanghai , China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102028229","display_name":"Guangwei Xu","orcid":"https://orcid.org/0000-0002-4103-1968"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangwei Xu","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University , 201600, Shanghai , China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University , 201600, Shanghai , China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037643580","display_name":"Wenjing Guo","orcid":"https://orcid.org/0000-0003-3170-2390"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Guo","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University , 201600, Shanghai , China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University , 201600, Shanghai , China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025230449","display_name":"Guobing Zou","orcid":"https://orcid.org/0000-0002-7865-8158"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guobing Zou","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University , 200444, Shanghai , China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University , 200444, Shanghai , China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025230449"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":3.2635,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92314818,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":"4","first_page":null,"last_page":null},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/computer-science","display_name":"Computer science","score":0.7580666542053223},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7574028968811035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6155131459236145},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5605026483535767},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5561858415603638},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5195127725601196},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4971194565296173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46090683341026306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46079689264297485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42991989850997925},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42777860164642334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11903545260429382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580666542053223},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7574028968811035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6155131459236145},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5605026483535767},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5561858415603638},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5195127725601196},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4971194565296173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46090683341026306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46079689264297485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42991989850997925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42777860164642334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11903545260429382},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbad222","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad222","pdf_url":"https://academic.oup.com/bib/article-pdf/24/4/bbad222/50916922/bbad222.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:37313714","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37313714","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":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1093/bib/bbad222","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad222","pdf_url":"https://academic.oup.com/bib/article-pdf/24/4/bbad222/50916922/bbad222.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7395182650","display_name":null,"funder_award_id":"62172088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G846785406","display_name":null,"funder_award_id":"21ZR1400400","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380576938.pdf","grobid_xml":"https://content.openalex.org/works/W4380576938.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1128809682","https://openalex.org/W1580018887","https://openalex.org/W1966107523","https://openalex.org/W1988657342","https://openalex.org/W1990334093","https://openalex.org/W2069089843","https://openalex.org/W2095705004","https://openalex.org/W2116516955","https://openalex.org/W2186254624","https://openalex.org/W2187089797","https://openalex.org/W2502666694","https://openalex.org/W2735067671","https://openalex.org/W2805888371","https://openalex.org/W2806945293","https://openalex.org/W2885673883","https://openalex.org/W2889326414","https://openalex.org/W2901677030","https://openalex.org/W2937917790","https://openalex.org/W2951217100","https://openalex.org/W2951381561","https://openalex.org/W2959295202","https://openalex.org/W2964159205","https://openalex.org/W2966415767","https://openalex.org/W3005680577","https://openalex.org/W3009561768","https://openalex.org/W3011266291","https://openalex.org/W3024013192","https://openalex.org/W3029148360","https://openalex.org/W3035524453","https://openalex.org/W3137285774","https://openalex.org/W3163972593","https://openalex.org/W3204844273","https://openalex.org/W4205281625","https://openalex.org/W4205916264","https://openalex.org/W6674330103","https://openalex.org/W6685380521","https://openalex.org/W6724131414","https://openalex.org/W6741242012","https://openalex.org/W6774314701","https://openalex.org/W6778585351"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2562400057","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2194570607","https://openalex.org/W2807634898","https://openalex.org/W2120337563"],"abstract_inverted_index":{"Single-cell":[0],"RNA":[1],"sequencing":[2],"(scRNA-seq)":[3],"measures":[4],"transcriptome-wide":[5],"gene":[6],"expression":[7],"at":[8,256],"single-cell":[9],"resolution.":[10],"Clustering":[11],"analysis":[12,100],"of":[13,68,153,159,183,217,235],"scRNA-seq":[14,54,98,195],"data":[15,99,141],"enables":[16],"researchers":[17],"to":[18,119,129,149,175,226],"characterize":[19],"cell":[20],"types":[21],"and":[22,52,66,70,105,124,144,156,229,251],"states,":[23],"shedding":[24],"new":[25],"light":[26],"on":[27,102,110,192,214],"cell-to-cell":[28],"heterogeneity":[29],"in":[30,61,76,231,244],"complex":[31],"tissues.":[32],"Recently,":[33],"self-supervised":[34],"contrastive":[35,103,112],"learning":[36,104],"has":[37],"become":[38],"a":[39,90,114,139],"prominent":[40],"technique":[41],"for":[42,48,97],"underlying":[43],"feature":[44,122],"representation":[45],"learning.":[46],"However,":[47],"the":[49,63,81,121,130,136,151,154,157,160,163,166,177,181,201,205,211,218,233,236,247],"noisy,":[50],"high-dimensional":[51],"sparse":[53],"data,":[55],"existing":[56],"methods":[57],"still":[58],"encounter":[59],"difficulties":[60],"capturing":[62],"intrinsic":[64],"patterns":[65],"structures":[67],"cells,":[69],"seldom":[71],"utilize":[72],"prior":[73,167],"knowledge,":[74],"resulting":[75],"clusters":[77],"that":[78,221],"mismatch":[79],"with":[80,188],"real":[82,194],"situation.":[83],"To":[84,179],"this":[85],"end,":[86],"we":[87,185],"propose":[88],"scDECL,":[89,184],"novel":[91],"deep":[92],"enhanced":[93,132,172],"constraint":[94],"clustering":[95,127,164],"algorithm":[96,203,219],"based":[101,109],"pairwise":[106,133,173],"constraints.":[107],"Specifically,":[108],"interpolated":[111],"learning,":[113],"pre-training":[115,137],"model":[116],"is":[117,147,169,242,253],"trained":[118],"learn":[120],"embedding,":[123],"then":[125],"perform":[126],"according":[128],"constructed":[131],"constraint.":[134],"In":[135,162,209],"stage,":[138,165],"mixup":[140],"augmentation":[142],"strategy":[143],"interpolation":[145],"loss":[146],"introduced":[148],"improve":[150],"diversity":[152],"dataset":[155],"robustness":[158],"model.":[161],"information":[168],"converted":[170],"into":[171],"constraints":[174],"guide":[176],"clustering.":[178],"validate":[180],"performance":[182,234],"compare":[186],"it":[187,252],"six":[189,193,206],"state-of-the-art":[190],"algorithms":[191],"datasets.":[196],"The":[197],"experimental":[198],"results":[199],"demonstrate":[200],"proposed":[202,237],"outperforms":[204],"competing":[207],"methods.":[208],"addition,":[210],"ablation":[212],"studies":[213],"each":[215,227],"module":[216],"indicate":[220],"these":[222],"modules":[223],"are":[224],"complementary":[225],"other":[228],"effective":[230],"improving":[232],"algorithm.":[238],"Our":[239],"method":[240],"scDECL":[241],"implemented":[243],"Python":[245],"using":[246],"Pytorch":[248],"machine-learning":[249],"library,":[250],"freely":[254],"available":[255],"https://github.com/DBLABDHU/scDECL.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}