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Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells - Nature Methods

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Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells - Nature Methods

RNA velocity has been rapidly adopted to guide interpretation of transcriptional dynamics in snapshot single-cell data; however, current approaches for estimating RNA velocity lack effective strategies for quantifying uncertainty and determining the overall applicability to the system of interest. Here, we present veloVI (velocity variational inference), a deep generative modeling framework for estimating RNA velocity.

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Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells - Nature Methods

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Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells - Nature Methods

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