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Deep Generative Modeling for Single-cell Transcriptomics
Transcriptome measurements of individual cells reflect unexplored biological diversity, but are also affected by technical noise and bias. This raises the need to model and account for the resulting uncertainty in any downstream analysis. Here, we introduce Single-cell Variational Inference (scVI),...
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| Publicado no: | Nat Methods |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6289068/ https://ncbi.nlm.nih.gov/pubmed/30504886 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-018-0229-2 |
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