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README.md
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- [scANVI](https://github.com/scverse/scvi-tools) label transfer
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- [Celltypist](https://www.celltypist.org) cell type classification
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All algorithms are implemented as a class in [popv/algorithms](popv/algorithms/__init__.py).
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To implement a new method, a class has to have several methods:
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- algorithm.compute_integration: Computes dataset integration to yield an integrated latent space.
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- algorithm.predict: Computes cell-type labels based on the specific classifier.
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- algorithm.compute_embedding: Computes UMAP embedding of previously computed integrated latent space.
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Adding a new class with those methods will automatically tell popV to include this class into its classifiers and will use the new classifier as another expert.
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## **Key Applications**
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- [scANVI](https://github.com/scverse/scvi-tools) label transfer
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- [Celltypist](https://www.celltypist.org) cell type classification
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## **Key Applications**
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