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Article: Bridging gaps: a neural network approach for cross-species scRNA-seq analysis in COVID-19

TitleBridging gaps: a neural network approach for cross-species scRNA-seq analysis in COVID-19
Authors
Issue Date1-Oct-2024
PublisherElsevier
Citation
EBioMedicine, 2024, v. 108 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/351150

 

DC FieldValueLanguage
dc.contributor.authorLuo, Peng-
dc.contributor.authorYe, Zi Wei-
dc.contributor.authorYuan, Shuofeng-
dc.date.accessioned2024-11-11T00:30:06Z-
dc.date.available2024-11-11T00:30:06Z-
dc.date.issued2024-10-01-
dc.identifier.citationEBioMedicine, 2024, v. 108-
dc.identifier.urihttp://hdl.handle.net/10722/351150-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofEBioMedicine-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleBridging gaps: a neural network approach for cross-species scRNA-seq analysis in COVID-19-
dc.typeArticle-
dc.identifier.doi10.1016/j.ebiom.2024.105324-
dc.identifier.pmid39236555-
dc.identifier.scopuseid_2-s2.0-85202937502-
dc.identifier.volume108-
dc.identifier.eissn2352-3964-
dc.identifier.issnl2352-3964-

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