{"id":"https://openalex.org/W4392899363","doi":"https://doi.org/10.1093/bib/bbae102","title":"Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data","display_name":"Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4392899363","doi":"https://doi.org/10.1093/bib/bbae102","pmid":"https://pubmed.ncbi.nlm.nih.gov/38493338"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbae102","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae102","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae102/56995105/bbae102.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/bbae102/56995105/bbae102.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031767346","display_name":"Dayu Hu","orcid":"https://orcid.org/0000-0002-9369-7390"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayu Hu","raw_affiliation_strings":["School of Computer, National University of Defense Technology , No. 109 Deya Road, 410073 Changsha, Hunan , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology , No. 109 Deya Road, 410073 Changsha, Hunan , China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009525613","display_name":"Ke Liang","orcid":"https://orcid.org/0000-0002-4837-455X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liang","raw_affiliation_strings":["School of Computer, National University of Defense Technology , No. 109 Deya Road, 410073 Changsha, Hunan , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology , No. 109 Deya Road, 410073 Changsha, Hunan , China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009251223","display_name":"Zhibin Dong","orcid":"https://orcid.org/0000-0001-7829-4924"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Dong","raw_affiliation_strings":["School of Computer, National University of Defense Technology , No. 109 Deya Road, 410073 Changsha, Hunan , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology , No. 109 Deya Road, 410073 Changsha, Hunan , China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384767","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5890-0365"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Computer, National University of Defense Technology , No. 109 Deya Road, 410073 Changsha, Hunan , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology , No. 109 Deya Road, 410073 Changsha, Hunan , China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012671357","display_name":"Yawei Zhao","orcid":"https://orcid.org/0000-0003-0765-1933"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawei Zhao","raw_affiliation_strings":["Medical Big Data Research Center, Chinese PLA General Hospital , No. 28 Fuxing Road, 100853 Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Big Data Research Center, Chinese PLA General Hospital , No. 28 Fuxing Road, 100853 Beijing , China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027802880","display_name":"Kunlun He","orcid":"https://orcid.org/0000-0002-3335-5700"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kunlun He","raw_affiliation_strings":["Medical Big Data Research Center, Chinese PLA General Hospital , No. 28 Fuxing Road, 100853 Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Big Data Research Center, Chinese PLA General Hospital , No. 28 Fuxing Road, 100853 Beijing , China","institution_ids":["https://openalex.org/I2802939634"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027802880"],"corresponding_institution_ids":["https://openalex.org/I2802939634"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":12.3559,"has_fulltext":true,"cited_by_count":61,"citation_normalized_percentile":{"value":0.99248636,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9919000267982483,"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":0.9742000102996826,"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":0.6419707536697388},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5979117155075073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5167785882949829},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5079115033149719},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.42830392718315125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1770954728126526},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0651770532131195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419707536697388},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5979117155075073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5167785882949829},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5079115033149719},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.42830392718315125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1770954728126526},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0651770532131195},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000092386","descriptor_name":"Single-Cell Gene Expression Analysis","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":"D002843","descriptor_name":"Chromatin","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","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":"D019895","descriptor_name":"Transposases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019895","descriptor_name":"Transposases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019895","descriptor_name":"Transposases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019895","descriptor_name":"Transposases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019895","descriptor_name":"Transposases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020733","descriptor_name":"RNA, Small Cytoplasmic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D020733","descriptor_name":"RNA, Small Cytoplasmic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D020733","descriptor_name":"RNA, Small Cytoplasmic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D020733","descriptor_name":"RNA, Small Cytoplasmic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D020733","descriptor_name":"RNA, Small Cytoplasmic","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"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/bbae102","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae102","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae102/56995105/bbae102.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:38493338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38493338","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:10944573","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10944573","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10944573/pdf/bbae102.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/bbae102","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae102","pdf_url":"https://academic.oup.com/bib/article-pdf/25/2/bbae102/56995105/bbae102.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/G2455478723","display_name":null,"funder_award_id":"62276271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5729763073","display_name":null,"funder_award_id":"62325604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7472951861","display_name":null,"funder_award_id":"2020AAA0107100","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392899363.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W2132914434","https://openalex.org/W2598326928","https://openalex.org/W2937917790","https://openalex.org/W3021272327","https://openalex.org/W3029148360","https://openalex.org/W3102434595","https://openalex.org/W3161991525","https://openalex.org/W3164736847","https://openalex.org/W4200581587","https://openalex.org/W4205281625","https://openalex.org/W4212797613","https://openalex.org/W4212964997","https://openalex.org/W4213136259","https://openalex.org/W4220837089","https://openalex.org/W4221166193","https://openalex.org/W4223934339","https://openalex.org/W4229058015","https://openalex.org/W4280533573","https://openalex.org/W4283077984","https://openalex.org/W4283689887","https://openalex.org/W4292429909","https://openalex.org/W4294012091","https://openalex.org/W4296580702","https://openalex.org/W4311232381","https://openalex.org/W4316339986","https://openalex.org/W4319600016","https://openalex.org/W4322768301","https://openalex.org/W4327683140","https://openalex.org/W4366987567","https://openalex.org/W4367551119","https://openalex.org/W4378212274","https://openalex.org/W4379599555","https://openalex.org/W4386083849","https://openalex.org/W6644682428","https://openalex.org/W6776453328","https://openalex.org/W6808770049","https://openalex.org/W6809831610","https://openalex.org/W6810990264","https://openalex.org/W6811274459","https://openalex.org/W6851716437","https://openalex.org/W6853303696"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"has":[4],"been":[5],"a":[6,98,155,171],"growing":[7],"trend":[8],"in":[9],"the":[10,41,44,53,58,62,69,118,125,134,138,148,184,194,204],"realm":[11],"of":[12,23,89,120,151,186,197,206],"parallel":[13,85],"clustering":[14,71,81],"analysis":[15],"for":[16,84],"single-cell":[17,21],"RNA-seq":[18],"(scRNA)":[19],"and":[20,87,110,200,203],"Assay":[22,88],"Transposase":[24,90],"Accessible":[25,91],"Chromatin":[26,92],"(scATAC)":[27],"data.":[28,93],"However,":[29],"prevailing":[30],"methods":[31],"often":[32],"treat":[33],"these":[34],"two":[35],"data":[36,112,136,165],"modalities":[37],"as":[38],"equals,":[39],"neglecting":[40],"fact":[42],"that":[43,162,175],"scRNA":[45,86,135],"mode":[46],"holds":[47],"significantly":[48,192],"richer":[49],"information":[50,107],"compared":[51],"to":[52,102,145,182,193],"scATAC.":[54],"This":[55,189],"disregard":[56],"hinders":[57],"model":[59,82],"benefits":[60],"from":[61,65,113,128],"insights":[63],"derived":[64],"multiple":[66,177],"modalities,":[67],"compromising":[68],"overall":[70],"performance.":[72],"To":[73,116],"this":[74],"end,":[75],"we":[76,95,132,153],"propose":[77],"an":[78],"effective":[79],"multi-modal":[80],"scEMC":[83],"Concretely,":[94],"have":[96],"devised":[97],"skip":[99,142],"aggregation":[100],"network":[101],"simultaneously":[103],"learn":[104],"global":[105],"structural":[106],"among":[108],"cells":[109],"integrate":[111],"diverse":[114],"modalities.":[115],"safeguard":[117],"quality":[119],"integrated":[121],"cell":[122,198],"representation":[123,140],"against":[124],"influence":[126],"stemming":[127],"sparse":[129],"scATAC":[130],"data,":[131],"connect":[133],"with":[137],"aggregated":[139],"via":[141],"connection.":[143],"Moreover,":[144],"effectively":[146],"fit":[147],"real":[149],"distribution":[150],"cells,":[152],"introduced":[154],"Zero":[156],"Inflated":[157],"Negative":[158],"Binomial-based":[159],"denoising":[160],"autoencoder":[161],"accommodates":[163],"corrupted":[164],"containing":[166],"synthetic":[167],"noise,":[168],"concurrently":[169],"integrating":[170],"joint":[172],"optimization":[173],"module":[174],"employs":[176],"losses.":[178],"Extensive":[179],"experiments":[180],"serve":[181],"underscore":[183],"effectiveness":[185],"our":[187,207],"model.":[188],"work":[190,208],"contributes":[191],"ongoing":[195],"exploration":[196],"subpopulations":[199],"tumor":[201],"microenvironments,":[202],"code":[205],"will":[209],"be":[210],"public":[211],"at":[212],"https://github.com/DayuHuu/scEMC.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":20}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
