Hi Shivani,
The particular model we trained doesn't predict asymmetric methylation. However, the statistical method can be used to train a model that predicts asymmetic methylation.
The method is quit general in this way -you can add or subtract any number of features. However, there is more work involved to train new models over simply using a trained one. It requires some bioinformatics skills as training involves multiple steps that aren't coherently wrapped up in a turn-key type app. Also, any new model with a different combination of features would have to be somehow validated or characterized to determine its accuracy.
For asymmetric methylation, though, you could just try running 5' and 3' strands seperately -although, again, this hasn't been validated.
best,
michael