Update README.md

README.md

@@ -41,7 +41,7 @@ This data was collected from the PRIDE repository with the identifiers [PXD00473
 
 ### Dataset Sources
 
-The data is based on the ProteomeTools datasets introduced in [1] and [2] and available at:
+The data is based on the ProteomeTools datasets introduced in [[1]](#ref1) and [[2]](#ref2) and available at:
 - https://www.ebi.ac.uk/pride/archive/projects/PXD004732
 - https://www.ebi.ac.uk/pride/archive/projects/PXD010595
 - https://www.ebi.ac.uk/pride/archive/projects/PXD021013
@@ -53,9 +53,9 @@ The dataset is intended to be used for training, fine-tuning, and evaluating det
 
 ## References
 
-[1] Zolg, D. P., Wilhelm, M., Schnatbaum, K., Zerweck, J., Knaute, T., Delanghe, B., ... & Kuster, B. (2017). Building ProteomeTools based on a complete synthetic human proteome. Nature methods, 14(3), 259-262.‏
+<a id="ref1"></a>[1] Zolg, D. P., Wilhelm, M., Schnatbaum, K., Zerweck, J., Knaute, T., Delanghe, B., ... & Kuster, B. (2017). Building ProteomeTools based on a complete synthetic human proteome. Nature methods, 14(3), 259-262.‏
 
-[2] Gessulat, S., Schmidt, T., Zolg, D. P., Samaras, P., Schnatbaum, K., Zerweck, J., ... & Wilhelm, M. (2019). Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nature methods, 16(6), 509-518.‏
+<a id="ref2"></a>[2] Gessulat, S., Schmidt, T., Zolg, D. P., Samaras, P., Schnatbaum, K., Zerweck, J., ... & Wilhelm, M. (2019). Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nature methods, 16(6), 509-518.‏
 
 
 ## Citation