Update README.md

README.md

@@ -4,8 +4,18 @@ tags:
 - biology
 ---
 
-[Barlow Twins](https://proceedings.mlr.press/v139/zbontar21a/zbontar21a.pdf) model pre-trained on the scTab dataset (~20M cells, ~19k genes). Training details 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.
+Pre-trained single-cell genomics models based on:
+- [BarlowTwins](https://proceedings.mlr.press/v139/zbontar21a/zbontar21a.pdf)
+- [Bootstrap Your Own Latent](https://papers.nips.cc/paper/2020/file/f3ada80d5c4ee70142b17b8192b2958e-Paper.pdf)
+- [Masked Autoencoder](https://openaccess.thecvf.com/content/CVPR2022/papers/He_Masked_Autoencoders_Are_Scalable_Vision_Learners_CVPR_2022_paper.pdf)
+- Gene-Program Masked Autoencoder
+
+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:
 
-[**Delineating the Effective Use of Self-Supervised Learning in Single-Cell Genomics**](https://doi.org/10.1101/2024.02.16.580624)
+[**Delineating the Effective Use of Self-Supervised Learning in Single-Cell Genomics**](https://doi.org/10.1101/2024.02.16.580624)
+
+See also:
+[Repository of the full analysis](github.com/theislab/ssl_in_scg)
+[Lean repository for minimal pre-training](github.com/theislab/sc_mae)