Update README.md

README.md

@@ -23,7 +23,7 @@ RVAgene models gene expression dynamics in single-cell or bulk data. Read the pa
 `train_and_gen.py` : code demonstrating training RVAgene, unsupervised clustering on latent space using K-means and Generating new gene expression data by sampling and decoding points from latent space.  <br />
 `gen_synthetic_data.py` : code to generate synthetic data with cluster structure as described in the paper. <br />
 `figs` : contains figures generated by the demo code. <br />
-`demo.ipynb` : Demonstration on the whole synthetic data generation, RVAgene training, clustering on latent space and new cluster specific data generation process
+`demo.ipynb` : Demonstration on the whole synthetic data generation, RVAgene training, clustering on latent space and new cluster specific data generation process <br />
 `single_cell_demo.ipynb` :demo of processing bulk Single cell data and running RVAgene
 
 ![alt text](https://github.com/maclean-lab/RVAgene/blob/master/figs/demo.png?raw=true)