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- short_description: Probabilistic modeling and analysis of single-cell omics dat
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # **scvi-tools**
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  - A semi-supervised model designed for label prediction, especially in cases of partially labeled data.
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  - **[totalVI](https://docs.scvi-tools.org/en/stable/user_guide/models/totalvi.html)**:
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  - A multi-modal model for joint analysis of RNA and protein data, additionally allowing imputation of missing protein data.
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-
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-
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  - **[DestVI](https://docs.scvi-tools.org/en/stable/user_guide/models/destvi.html)**:
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  - A deconvolution model for prediction of single-cell profiles given subcellular spatial transcriptomics data. We provide here pre-trained single cell models (CondSCVI).
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  - **[Stereoscope](https://docs.scvi-tools.org/en/stable/user_guide/models/stereoscope.html)**:
 
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+ short_description: Probabilistic modeling of single-cell omics data
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+ collections:
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+ - name: SCANVI
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+ description: "A collection of SCANVI models."
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+ - name: SCVI
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+ description: "A collection of SCVI models."
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+ - name: TotalVI
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+ description: "A collection of TotalVI models."
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+ - name: DestVI
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+ description: "A collection of DestVI models."
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+ - name: Stereoscope
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+ description: "A collection of Stereoscope models."
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+ display:
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+ models: false
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+ datasets: false
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+ layout: collections
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  ---
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  # **scvi-tools**
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  - A semi-supervised model designed for label prediction, especially in cases of partially labeled data.
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  - **[totalVI](https://docs.scvi-tools.org/en/stable/user_guide/models/totalvi.html)**:
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  - A multi-modal model for joint analysis of RNA and protein data, additionally allowing imputation of missing protein data.
 
 
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  - **[DestVI](https://docs.scvi-tools.org/en/stable/user_guide/models/destvi.html)**:
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  - A deconvolution model for prediction of single-cell profiles given subcellular spatial transcriptomics data. We provide here pre-trained single cell models (CondSCVI).
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  - **[Stereoscope](https://docs.scvi-tools.org/en/stable/user_guide/models/stereoscope.html)**: