Update README.md

README.md

@@ -20,18 +20,18 @@ This is an open science initiative, please contribute your own models to allow t
 scvi-tools offers a comprehensive suite of models designed to address various challenges in single-cell data analysis.
 
 ### **Current HubModels**
-- **[scVI](https://docs.scvi-tools.org/en/stable/user_guide/models.html#scvi)**:
+- **[scVI](https://docs.scvi-tools.org/en/stable/user_guide/models/scvi.html)**:
   - A variational autoencoder for dimensionality reduction, batch correction, and clustering.
   - Ideal for processing single-cell RNA-seq data.
-- **[SCANVI](https://docs.scvi-tools.org/en/stable/user_guide/models.html#scanvi)**:
+- **[SCANVI](https://docs.scvi-tools.org/en/stable/user_guide/models/scanvi.html)**:
   - 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.html#totalvi)**:
+- **[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.html#multivi)**:
+- **[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.
-- **[DestVI](https://docs.scvi-tools.org/en/stable/user_guide/models.html#destvi)**:
-  - A deconvolution model for prediction of single-cell profiles given subcellular spatial transcriptomics data. We provide here pre-trained single cell models.
-- **[Stereoscope](https://docs.scvi-tools.org/en/stable/user_guide/models.html#stereoscope)**:
+- **[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)**:
   - A deconvolution model for prediction of cell-type composition given subcellular spatial transcriptomics data. We provide here pre-trained single cell models.
 
 Explore the full list of models in scvi-tools in our **[user guide](https://docs.scvi-tools.org/en/stable/user_guide/index.html)**.