Update README.md

README.md

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 # FusOn-pLM: A Fusion Oncoprotein-Specific Language Model via Focused Probabilistic Masking
 ![image/png](architecture.png)
-In this work, we introduce **FusOn-pLM**, a novel pLM that fine-tunes the state-of-the-art [ESM-2-650M](https://huggingface.co/facebook/esm2_t33_650M_UR50D) protein language model (pLM) on fusion oncoprotein sequences, those that drive a large portion of pediatric cancers but are heavily disordered and undruggable. We specifically introduce a novel masked language modeling (MLM) strategy, employing a cosine-scheduled masking strategy that varies the numnber of masked residues throughout each epoch, thereby increasing the difficulty of the training task and generating more optimal fusion oncoprotein-aware embeddings. Our model improves performance on both fusion oncoprotein-specific benchmarks and disorder prediction tasks in comparison to baseline ESM-2 representations, as well as manually-constructed biophysical embeddings, motivating downstream usage of FusOn-pLM embeddings for therapeutic design tasks targeting these fusions. Please feel free to try out our embeddings and reach out if you have any questions!
+In this work, we introduce **FusOn-pLM**, a novel pLM that fine-tunes the state-of-the-art [ESM-2-650M](https://huggingface.co/facebook/esm2_t33_650M_UR50D) protein language model (pLM) on fusion oncoprotein sequences, those that drive a large portion of pediatric cancers but are heavily disordered and undruggable. We specifically introduce a novel cosine-scheduled masked language modeling (MLM) strategy which varies the numnber of masked residues throughout each epoch, thereby increasing the difficulty of the training task and generating more optimal fusion oncoprotein-aware embeddings. Our model improves performance on both fusion oncoprotein-specific benchmarks and disorder prediction tasks in comparison to baseline ESM-2 representations, as well as manually-constructed biophysical embeddings, motivating downstream usage of FusOn-pLM embeddings for therapeutic design tasks targeting these fusions. Please feel free to try out our embeddings and reach out if you have any questions!
 
 
 **How to generate FusOn-pLM embeddings for your fusion oncoprotein:**