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An empirical Bayes method for differential expression analysis of single cells with deep generative models
Detecting differentially expressed genes is important for characterizing subpopulations of cells. In scRNA-seq data, however, nuisance variation due to technical factors like sequencing depth and RNA capture efficiency obscures the underlying biological signal. Deep generative models have been exten...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214125/ https://www.ncbi.nlm.nih.gov/pubmed/37192164 http://dx.doi.org/10.1073/pnas.2209124120 |