Dimensionality reduction, dataset integration, differential expression, automated annotation. scvi-tools contains models that perform a wide variety of tasks across many omics, all while accounting for the statistical properties of the data.
Stochastic, GPU-accelerated inference
scvi-tools models are trained efficiently through minibatching and can naturally be used with a GPU. These models are prepared to scale with growing dataset sizes.