Hello @MahaThafar,
Thank you for sharing the code.
I'm interested in use Affinty2Vec to compute the affinity of some (drug, protein) pairs and also to retrain it using different datasets.
Could you please help me in these points?
About the embeddings:
- How to generate the embeddings using the models you put in the "Trained_model" fold?
- What libraries I need to import into a python script to predict the embeddings?
- What are exactly the input that these models require?
- Could you kindly upload a python script with a sample of how to use these models to build an embedding?
About using the model to prediction:
- What is the correct way to use the model to predict the affinity of a single (drug,protein) pair?
- I'm a little confused about how to generate all the features os a single (drug,protein) pair required by the model. Could you please clarify this?
Thank you in advance.
Hello @MahaThafar,
Thank you for sharing the code.
I'm interested in use Affinty2Vec to compute the affinity of some (drug, protein) pairs and also to retrain it using different datasets.
Could you please help me in these points?
About the embeddings:
About using the model to prediction:
Thank you in advance.