Update README.md

- Fix typos + links
- Update article title

README.md

@@ -17,8 +17,8 @@ The classes are:
 - fetal
 - newborn
 
-The model is a simple fense feedforward neural network, with one hidden layer of 3000 nodes.The model was trained using PyTorch Lightning. See Github repository [rabyj/epi_ml](https://github.com/rabyj/epi_ml/blob/master/src/python/epi_ml/core/model_pytorch.py) for model code.
+The model is a simple dense feedforward neural network, with one hidden layer of 3000 nodes. The model was trained using PyTorch Lightning. See Github repository [labjacquespe/EpiClass](https://github.com/labjacquespe/epiclass/blob/master/src/python/epiclass/core/model_pytorch.py) for model code.
 
 See the .o and .e files for training details. More information is also available on Comet ML, in the rabyj/epiclass project. The ID of this training run is [91214ed0b1664395b1826dc69a495ed4](https://www.comet.com/rabyj/epiclass/91214ed0b1664395b1826dc69a495ed4)
 
-For more context, see the associated publication: Leveraging the largest harmonized epigenomic data collection for metadata prediction validated and augmented over 350,000 public epigenomic datasets
+For more context, see the associated publication: [Leveraging a large harmonized epigenomic data collection for metadata prediction to validate and augment over 350,000 public epigenomic datasets](https://www.biorxiv.org/content/10.1101/2025.09.04.670545v1)