{"id":"https://openalex.org/W4406260935","doi":"https://doi.org/10.1109/bibm62325.2024.10822787","title":"scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data","display_name":"scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406260935","doi":"https://doi.org/10.1109/bibm62325.2024.10822787"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","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/A5083513047","display_name":"Wenwen Min","orcid":"https://orcid.org/0000-0002-2558-2911"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenwen Min","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China,650500"],"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China,650500","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590891","display_name":"Zhen Wang","orcid":"https://orcid.org/0009-0004-5437-1103"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China,650500"],"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China,650500","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047578093","display_name":"Fangfang Zhu","orcid":"https://orcid.org/0009-0005-1568-2811"},"institutions":[{"id":"https://openalex.org/I4210160657","display_name":"Yunnan Open University","ror":"https://ror.org/04egk7864","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210160657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangfang Zhu","raw_affiliation_strings":["Yunnan Open University,School of Health and Nursing,Kunming,China,650599"],"affiliations":[{"raw_affiliation_string":"Yunnan Open University,School of Health and Nursing,Kunming,China,650599","institution_ids":["https://openalex.org/I4210160657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071137947","display_name":"Taosheng Xu","orcid":"https://orcid.org/0000-0001-8283-7274"},"institutions":[{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taosheng Xu","raw_affiliation_strings":["Chinese Academy of Sciences,Hefei Institutes of Physical Science,Hefei,China,230031"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Hefei Institutes of Physical Science,Hefei,China,230031","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027950316","display_name":"Guangsheng Wu","orcid":"https://orcid.org/0000-0002-7739-9422"},"institutions":[{"id":"https://openalex.org/I4210109434","display_name":"Xinyu University","ror":"https://ror.org/021xwcd05","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangsheng Wu","raw_affiliation_strings":["Xinyu University,School of Mathematics and Computer Science,Xinyu,China,338004"],"affiliations":[{"raw_affiliation_string":"Xinyu University,School of Mathematics and Computer Science,Xinyu,China,338004","institution_ids":["https://openalex.org/I4210109434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040105964","display_name":"Shunfang Wang","orcid":"https://orcid.org/0000-0002-1927-8753"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunfang Wang","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China,650500"],"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China,650500","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083513047"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":1.9715,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86990301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1092","last_page":"1097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9524000287055969,"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":0.9474999904632568,"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":0.6134475469589233},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.611288845539093},{"id":"https://openalex.org/keywords/rna-seq","display_name":"RNA-Seq","score":0.5451088547706604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41341495513916016},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.32303985953330994},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11949750781059265},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.10148972272872925},{"id":"https://openalex.org/keywords/transcriptome","display_name":"Transcriptome","score":0.09894001483917236},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.08974257111549377},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07534721493721008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134475469589233},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.611288845539093},{"id":"https://openalex.org/C107397762","wikidata":"https://www.wikidata.org/wiki/Q2542347","display_name":"RNA-Seq","level":5,"score":0.5451088547706604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41341495513916016},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.32303985953330994},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11949750781059265},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.10148972272872925},{"id":"https://openalex.org/C162317418","wikidata":"https://www.wikidata.org/wiki/Q252857","display_name":"Transcriptome","level":4,"score":0.09894001483917236},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.08974257111549377},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07534721493721008}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2562003322","https://openalex.org/W2605810679","https://openalex.org/W2752378502","https://openalex.org/W2894687190","https://openalex.org/W2937917790","https://openalex.org/W2951381561","https://openalex.org/W2966006719","https://openalex.org/W3004946360","https://openalex.org/W3021272327","https://openalex.org/W3137285774","https://openalex.org/W3138479716","https://openalex.org/W3202332579","https://openalex.org/W3211858897","https://openalex.org/W4205281625","https://openalex.org/W4295934943","https://openalex.org/W4317888741","https://openalex.org/W4388562978","https://openalex.org/W4389220058","https://openalex.org/W4391262644","https://openalex.org/W4400519893","https://openalex.org/W4406260935","https://openalex.org/W6685380521","https://openalex.org/W6862785129","https://openalex.org/W6868539771"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Single-cell":[0],"RNA":[1],"sequencing":[2],"(scRNA-seq)":[3],"data":[4,23,93],"analysis":[5],"is":[6,131],"pivotal":[7],"for":[8,27,156],"understanding":[9],"cellular":[10],"heterogeneity.":[11],"However,":[12],"the":[13,77,92,124,135,138],"high":[14],"sparsity":[15],"and":[16,57,94,117,153,162],"complex":[17],"noise":[18],"patterns":[19],"inherent":[20],"in":[21,166],"scRNA-seq":[22],"present":[24],"significant":[25],"challenges":[26],"traditional":[28],"clustering":[29,39,55,158],"methods.":[30],"To":[31],"address":[32],"these":[33],"issues,":[34],"we":[35],"propose":[36],"a":[37,62,83,127,151],"deep":[38],"method,":[40],"Attention-Enhanced":[41],"Structural":[42],"Deep":[43],"Embedding":[44],"Graph":[45],"Clustering":[46],"(scASDC),":[47],"which":[48],"integrates":[49],"multiple":[50],"advanced":[51],"modules":[52,102],"to":[53,68,133],"improve":[54],"accuracy":[56],"robustness.":[58],"Our":[59],"approach":[60],"employs":[61],"multi-layer":[63],"graph":[64,78],"convolutional":[65],"network":[66],"(GCN)":[67],"capture":[69],"high-order":[70],"structural":[71,118],"relationships":[72],"between":[73],"cells,":[74],"termed":[75],"as":[76],"autoencoder":[79,85],"module.":[80],"We":[81],"introduce":[82],"ZINB-based":[84],"module":[86,130],"that":[87,144],"extracts":[88],"content":[89],"information":[90,119],"from":[91],"learns":[95],"latent":[96],"representations":[97],"of":[98,114,123,137],"gene":[99,115],"expression.":[100],"These":[101],"are":[103,169],"further":[104],"integrated":[105],"through":[106],"an":[107],"attention":[108],"fusion":[109],"mechanism,":[110],"ensuring":[111],"effective":[112,154],"combination":[113],"expression":[116],"at":[120,171],"each":[121],"layer":[122],"GCN.":[125],"Additionally,":[126],"self-supervised":[128],"learning":[129],"incorporated":[132],"enhance":[134],"robustness":[136],"learned":[139],"embeddings.":[140],"Extensive":[141],"experiments":[142],"demonstrate":[143],"scASDC":[145],"outperforms":[146],"existing":[147],"state-of-the-art":[148],"methods,":[149],"providing":[150],"robust":[152],"solution":[155],"single-cell":[157],"tasks.":[159],"All":[160],"code":[161],"public":[163],"datasets":[164],"used":[165],"this":[167],"paper":[168],"available":[170],"https://github.com/wenwenmin/scASDC.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}