Efficient differential expression analysis of large-scale single cell transcriptomics data using dreamlet

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Advances in single-cell and -nucleus transcriptomics have enabled generation of increasingly large-scale datasets from hundreds of subjects and millions of cells. These studies promise to give unprecedented insight into the cell type specific biology of human disease. Yet performing differential exp...

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Detalles Bibliográficos
Autores principales: Hoffman, Gabriel E., Lee, Donghoon, Bendl, Jaroslav, Fnu, Prashant, Hong, Aram, Casey, Clara, Alvia, Marcela, Shao, Zhiping, Argyriou, Stathis, Therrien, Karen, Venkatesh, Sanan, Voloudakis, Georgios, Haroutunian, Vahram, Fullard, John F., Roussos, Panos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187426/
https://www.ncbi.nlm.nih.gov/pubmed/37205331
http://dx.doi.org/10.21203/rs.3.rs-2705625/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187426/
https://www.ncbi.nlm.nih.gov/pubmed/37205331
http://dx.doi.org/10.21203/rs.3.rs-2705625/v1

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