gifford-lab / cpgenie Goto Github PK
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License: Apache License 2.0
Hi, I am also working on predicting DNA methylations from DNA sequences.
But I have a question about your CNN and dataset to be trained on. Is dataset labels binary? ie, [0,1] or an array with two values, ie, probability of unmethylated or methylated? Like [0.2,0.8]. Also, how did you preprocess those sequences with multiple reads/experiments?
I appreciate your time to answer this question.
All the best,
Han
Dear developer, CpGenie is a very good model, we are trying to use it and have recently encountered some problems:
It takes a long time to use cpgenie prediction, and the utilization rate of gpu is less than 6% each time. I want to know how to improve the gpu utilization of CpGenie in prediction.
Another question, I read your readme file carefully, don't know how to train cpgenie, can you still run cpgenie training process now?
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