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README.md
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sdk: static
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pinned: true
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license: bsd-3-clause
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short_description: Probabilistic modeling
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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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sdk: static
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pinned: true
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license: bsd-3-clause
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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)**:
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