Update README.md

README.md

@@ -1,3 +1,41 @@
+---
+model-index:
+  - name: DeepShape
+    results:
+      - task:
+          name: TF/DNase/Histone Binding Prediction
+          type: binary-classification
+        dataset:
+          name: ENCODE + Roadmap Epigenomics (919 targets)
+          type: genomics
+          split: "held-out chromosomes (validation: chr6/7, test: chr8/9)"
+        metrics:
+          - name: AUROC (TF)
+            type: auc
+            value: 0.948
+          - name: AUPRC (TF)
+            type: average precision
+            value: 0.353
+          - name: AUROC (DNase)
+            type: auc
+            value: 0.907
+          - name: AUPRC (DNase)
+            type: average precision
+            value: 0.472
+          - name: AUROC (Histone)
+            type: auc
+            value: 0.850
+          - name: AUPRC (Histone)
+            type: average precision
+            value: 0.367
+          - name: AUROC (average)
+            type: auc
+            value: 0.929
+          - name: AUPRC (average)
+            type: average precision
+            value: 0.379
+---
+
 # DeepShape
 
 ![DeepShape Model](https://cdn-uploads.huggingface.co/production/uploads/673aba065a7a527280b46d42/GkOXCl7rm87SWMUm1HjgB.png)
@@ -7,3 +45,8 @@ DeepShape is a deep convolutional neural network designed to predict molecular p
 DeepShape is built upon DeeperDeepSEA, a PyTorch-based deep learning model originally designed to predict chromatin features from DNA sequence alone as implemented in [Selene](https://www.nature.com/articles/s41592-019-0360-8).
 
 https://github.com/ni-lab/DeepShape
+
+## License
+
+DeepShape is licensed under the MIT License. Portions of this software are derived from [Selene](https://www.nature.com/articles/s41592-019-0360-8), which is licensed under the Clear BSD License.  
+See the [LICENSE](./LICENSE) file for full details.