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Interpretable factor models of single-cell RNA-seq via variational autoencoders
MOTIVATION: Single-cell RNA-seq makes possible the investigation of variability in gene expression among cells, and dependence of variation on cell type. Statistical inference methods for such analyses must be scalable, and ideally interpretable. RESULTS: We present an approach based on a modificati...
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| Опубликовано в: : | Bioinformatics |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7267837/ https://ncbi.nlm.nih.gov/pubmed/32176273 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa169 |
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