Browse Tools

totalVI — deep generative model for joint analysis of CITE-seq RNA and surface protein data built on scvi-tools and PyTorch. Provides integrated dimensionality reduction across transcriptome and prote

totalVI and MultiVI — deep generative models from scvi-tools for multi-modal single-cell integration. totalVI jointly models scRNA-seq and protein (CITE-seq) data via a variational autoencoder for den

Use when working with scvi-hub — scvi-hub — the HuggingFace Hub integration

MultiVI — deep generative model for joint analysis of scRNA-seq and scATAC-seq multi-omics data using variational inference. Part of scvi-tools (scverse ecosystem). Integrates single-modality and mult

scvi-tools — probabilistic deep learning framework for single-cell omics analysis built on PyTorch and AnnData. Provides variational autoencoders for dimensionality reduction and batch integration (sc