scvi-tools/tabula-sapiens-fat-scvi
ScVI is a variational inference model for single-cell RNA-seq data that can learn an underlying latent space, integrate technical batches and impute dropouts. The learned low-dimensional latent representation of the data can be used for visualization and clustering.
README
libraryname: scvi-tools license: cc-by-4.0 tags: biology genomics single-cell modelclsname:SCVI scviversion:1.4.2 anndataversion:0.12.7 modality:rna tissue:various annotated:True ScVI is a variational inference model for single-cell RNA-seq data that can learn an underlying latent space, integrate technical batches and impute dropouts. The learned low-dimensional latent representation of the data can be used for visualization and clustering. scVI takes as input a scRNA-seq gene expression…
Source attribution
- HuggingFace — scvi-tools/tabula-sapiens-fat-scvi
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