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@@ -37,15 +37,6 @@ Currently implemented algorithms are:
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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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-
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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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  ---
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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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  ---
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  ## **Key Applications**