Update README.md

README.md

@@ -10,6 +10,12 @@ Pre-trained single-cell genomics models based on:
 - [Masked Autoencoder](https://openaccess.thecvf.com/content/CVPR2022/papers/He_Masked_Autoencoders_Are_Scalable_Vision_Learners_CVPR_2022_paper.pdf)
 - Gene-Program Masked Autoencoder
 
+Finetuned models for the downstream tasks of:
+- Cell Type Prediction
+- Gene Expression Reconstruction
+- Cross-Modality Prediction (RNA->Proteomics)
+- Data Integration
+
 Training details and adaptations to single-cell data in our project can be found in our paper below. To use the model directly, the same genes must be used in the same order as in the `var.parquet` file. Otherwise, follow the instructions from the repositories below to train a model for custom datasets. 
 
 If you find our work useful, please cite the following paper: