Update README.md

README.md

@@ -7,13 +7,12 @@ tags:
 - EpiClass
 - pytorch
 ---
-Epigenome Assay/Target classifier trained on the EpiATLAS dataset. The classes are IHEC reference epigenome assays:
-- Seven (7) ChIP-Seq assays: H3k27ac, H3k27me3, H3k36me3, H3k4me1, H3k4me3, H3k9me3, input
-- Two (2) RNA-Seq protocols (total/mrna)
-- Two (2) WGBS protocols (pbat/standard)
+# Epigenomic Classifer - Assay
 
-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. 
+Epigenome Assay/Target classifier trained on the [EpiATLAS dataset](https://ihec-epigenomes.org/epiatlas/data/). The classes are IHEC reference epigenome ChIP assays (7 assays: H3k27ac, H3k27me3, H3k36me3, H3k4me1, H3k4me3, H3k9me3, input)
 
-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 [0f8e5eb996114868a17057bebe64f87c](https://www.comet.com/rabyj/epiclass/0f8e5eb996114868a17057bebe64f87c)
+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.
 
-For more context, like the associated publication, see the EpiClass collection details.
+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 [69488630801b4a05a53b5d9e572f0aaa](https://www.comet.com/rabyj/epiclass/69488630801b4a05a53b5d9e572)
+
+For more context, like the associated publication, see the EpiClass collection details.