scVI — scvi-tools
scVI 1(single-cell Variational Inference; Python class SCVI) posits a flexible generative model of scRNA-seq count data that can subsequently be used for many common downstream tasks. The advantage...
scVI # scVI [ 1 ] (single-cell Variational Inference; Python class SCVI ) posits a flexible generative model of scRNA-seq count data that can subsequently be used for many common downstream tasks. The advantages of scVI are: Comprehensive in capabilities. Scalable to very large datasets (>1 million cells). The limitations of scVI include: Effectively requires a GPU for fast inference. Latent space is not interpretable, unlike that of a linear method. Tutorials: Introduction to scvi-tools Atlas-level integration of lung data Reference mapping with SCVI-Tools Integrating datasets with scVI in R
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