Update README.md

README.md

@@ -26,10 +26,8 @@ scvi-tools offers a comprehensive suite of models designed to address various ch
   - A semi-supervised model designed for label prediction, especially in cases of partially labeled data.
 - **[totalVI](https://docs.scvi-tools.org/en/stable/user_guide/models/totalvi.html)**:
   - A multi-modal model for joint analysis of RNA and protein data, additionally allowing imputation of missing protein data.
-<!---
-- **[MultiVI](https://docs.scvi-tools.org/en/stable/user_guide/models/multivi.html)**:
-  - A multi-modal model for joint analysis of RNA, ATAC and protein data, enabling integrative insights from diverse omics data.
--->
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 - **[DestVI](https://docs.scvi-tools.org/en/stable/user_guide/models/destvi.html)**:
   - A deconvolution model for prediction of single-cell profiles given subcellular spatial transcriptomics data. We provide here pre-trained single cell models (CondSCVI).
 - **[Stereoscope](https://docs.scvi-tools.org/en/stable/user_guide/models/stereoscope.html)**:
@@ -75,4 +73,10 @@ Discover how to efficiently access CELLxGENE census using our minified models in
 ## **Contact**
 - Website: [https://scvi-tools.org](https://scvi-tools.org)
 - GitHub: [https://github.com/scverse/scvi-tools](https://github.com/scverse/scvi-tools)
-- Tutorials: [scvi-tools Tutorials](https://docs.scvi-tools.org/en/stable/tutorials/index.html)
+- Tutorials: [scvi-tools Tutorials](https://docs.scvi-tools.org/en/stable/tutorials/index.html)
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+<!---
+- **[MultiVI](https://docs.scvi-tools.org/en/stable/user_guide/models/multivi.html)**:
+- A multi-modal model for joint analysis of RNA, ATAC and protein data, enabling integrative insights from diverse omics data.
+-->