It seems deepsynergy, deepdds and matchmaker use the groundtruth (which is called context in the dataset) as model input. So the models performance are extremely high.
Hi @wjxts, could you elaborate on this? The contexts are one-hot encoded vectors representing the contexts where drugs would interact. How would the contexts be equivalent to ground truths?
It seems deepsynergy, deepdds and matchmaker use the groundtruth (which is called context in the dataset) as model input. So the models performance are extremely high.