{"id":"https://openalex.org/W4392393054","doi":"https://doi.org/10.1093/bib/bbae068","title":"scAMAC: self-supervised clustering of scRNA-seq data based on adaptive multi-scale autoencoder","display_name":"scAMAC: self-supervised clustering of scRNA-seq data based on adaptive multi-scale autoencoder","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4392393054","doi":"https://doi.org/10.1093/bib/bbae068","pmid":"https://pubmed.ncbi.nlm.nih.gov/38426327"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbae068","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae068","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae068/56807758/bbae068.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"gold","oa_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae068/56807758/bbae068.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055373332","display_name":"Dayu Tan","orcid":"https://orcid.org/0000-0002-3960-8852"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayu Tan","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013811376","display_name":"Cheng Yang","orcid":"https://orcid.org/0000-0001-9431-290X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378443","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-1025-5707"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071754273","display_name":"Yansen Su","orcid":"https://orcid.org/0000-0002-3855-7133"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansen Su","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064185915","display_name":"Chun-Hou Zheng","orcid":"https://orcid.org/0000-0002-2695-1926"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhou Zheng","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University , 230601 Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100378443"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":3.1725,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92248995,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"25","issue":"2","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":1.0,"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":1.0,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9850999712944031,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9839000105857849,"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/autoencoder","display_name":"Autoencoder","score":0.8874369859695435},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8537172079086304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7663892507553101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6178538203239441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5705860257148743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4886822998523712},{"id":"https://openalex.org/keywords/rand-index","display_name":"Rand index","score":0.4690314531326294},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43748223781585693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36882495880126953},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33350810408592224}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8874369859695435},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8537172079086304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7663892507553101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6178538203239441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5705860257148743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4886822998523712},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.4690314531326294},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43748223781585693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36882495880126953},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33350810408592224}],"mesh":[{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data 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":"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":"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":"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":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":"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":"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}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbae068","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae068","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae068/56807758/bbae068.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:38426327","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38426327","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},{"id":"pmh:oai:pubmedcentral.nih.gov:10905526","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10905526","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10905526/pdf/bbae068.pdf","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":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbae068","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae068","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae068/56807758/bbae068.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/G4529452762","display_name":null,"funder_award_id":"62302007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6202416540","display_name":null,"funder_award_id":"62303014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7307202658","display_name":null,"funder_award_id":"62172002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7556308482","display_name":null,"funder_award_id":"2308085QF225","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G8602029459","display_name":null,"funder_award_id":"2108085QF267","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G8625284979","display_name":null,"funder_award_id":"2021YFE0102100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392393054.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1967327758","https://openalex.org/W1979283544","https://openalex.org/W2068881679","https://openalex.org/W2069089843","https://openalex.org/W2120205807","https://openalex.org/W2135937351","https://openalex.org/W2195294260","https://openalex.org/W2307567449","https://openalex.org/W2316095770","https://openalex.org/W2523419694","https://openalex.org/W2526262591","https://openalex.org/W2598326928","https://openalex.org/W2601723752","https://openalex.org/W2626990934","https://openalex.org/W2743416243","https://openalex.org/W2783644856","https://openalex.org/W2800392236","https://openalex.org/W2803194497","https://openalex.org/W2898718502","https://openalex.org/W2916020270","https://openalex.org/W2937917790","https://openalex.org/W2951381561","https://openalex.org/W2951876422","https://openalex.org/W2952303649","https://openalex.org/W2953251392","https://openalex.org/W2955621471","https://openalex.org/W2964015378","https://openalex.org/W2997470228","https://openalex.org/W3002916478","https://openalex.org/W3008563687","https://openalex.org/W3013135635","https://openalex.org/W3037216933","https://openalex.org/W3113251307","https://openalex.org/W3163972593","https://openalex.org/W3209882608","https://openalex.org/W4205281625","https://openalex.org/W4205916264","https://openalex.org/W4213136259","https://openalex.org/W4225386814","https://openalex.org/W4225579877","https://openalex.org/W4231842606","https://openalex.org/W4293214728","https://openalex.org/W4311001826","https://openalex.org/W4311474543","https://openalex.org/W4382240023","https://openalex.org/W4396783545","https://openalex.org/W6685380521","https://openalex.org/W6726873649","https://openalex.org/W6768952390","https://openalex.org/W6782783850","https://openalex.org/W6787157338","https://openalex.org/W6803185399","https://openalex.org/W6847118829","https://openalex.org/W6853603859"],"related_works":["https://openalex.org/W2112801327","https://openalex.org/W4312201980","https://openalex.org/W2000077490","https://openalex.org/W4205940116","https://openalex.org/W2752973482","https://openalex.org/W1537413002","https://openalex.org/W2949329924","https://openalex.org/W4386467284","https://openalex.org/W4319303001","https://openalex.org/W3024789140"],"abstract_inverted_index":{"Cluster":[0],"assignment":[1],"is":[2,180,198],"vital":[3],"to":[4,11,43,78,141,182],"analyzing":[5],"single-cell":[6],"RNA":[7],"sequencing":[8],"(scRNA-seq)":[9],"data":[10,27,167,191],"understand":[12],"high-level":[13],"biological":[14],"processes.":[15],"Deep":[16],"learning-based":[17],"clustering":[18,59,71,114,128,163,185,192],"methods":[19,188],"have":[20],"recently":[21],"been":[22],"widely":[23],"used":[24],"in":[25,189],"scRNA-seq":[26],"analysis.":[28],"However,":[29],"existing":[30],"deep":[31,107],"models":[32],"often":[33],"overlook":[34],"the":[35,44,50,74,80,84,91,96,102,117,121,127,132,143,147,170],"interconnections":[36],"and":[37,87,105,125,186,193],"interactions":[38],"among":[39],"network":[40,51,72,115,129],"layers,":[41],"leading":[42],"loss":[45],"of":[46,90,98,146,155],"structural":[47],"information":[48,82],"within":[49,101],"layers.":[52],"Herein,":[53],"we":[54,176],"develop":[55],"a":[56,151],"new":[57],"self-supervised":[58,70,113],"method":[60],"based":[61,130],"on":[62,131],"an":[63,137],"adaptive":[64,138],"multi-scale":[65,92,148],"autoencoder,":[66,93,149],"called":[67],"scAMAC.":[68],"The":[69,112],"utilizes":[73],"Multi-Scale":[75],"Attention":[76],"mechanism":[77,140],"fuse":[79],"feature":[81],"from":[83],"encoder,":[85],"hidden":[86],"decoder":[88],"layers":[89],"which":[94],"enables":[95,161],"exploration":[97],"cellular":[99],"correlations":[100],"same":[103],"scale":[104],"captures":[106],"features":[108,124],"across":[109],"different":[110],"scales.":[111],"calculates":[116],"membership":[118,133],"matrix":[119],"using":[120],"fused":[122],"latent":[123],"optimizes":[126],"matrix.":[134],"scAMAC":[135,158,179,197,209],"employs":[136],"feedback":[139],"supervise":[142],"parameter":[144],"updates":[145],"obtaining":[150],"more":[152],"effective":[153],"representation":[154],"cell":[156,162,205],"features.":[157],"not":[159],"only":[160],"but":[164],"also":[165],"performs":[166],"reconstruction":[168],"through":[169],"decoding":[171],"layer.":[172],"Through":[173],"extensive":[174],"experiments,":[175],"demonstrate":[177],"that":[178],"superior":[181],"several":[183],"advanced":[184],"imputation":[187],"both":[190],"reconstruction.":[194],"In":[195],"addition,":[196],"beneficial":[199],"for":[200],"downstream":[201],"analysis,":[202],"such":[203],"as":[204],"trajectory":[206],"inference.":[207],"Our":[208],"model":[210],"codes":[211],"are":[212],"freely":[213],"available":[214],"at":[215],"https://github.com/yancy2024/scAMAC.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
