MethylNet is a command line tool and python library that provides classes to handle deep learning tasks for methylation data. It is built off of pythonic MethylationArray data types introduced in (https://github.com/Christensen-Lab-Dartmouth/PyMethylProcess), and uses PyTorch to explore/make predictions on the methylation data.

Please check out our code ocean demo at: https://codeocean.com/capsule/5473199/

Featured in BMC Bioinformatics: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-3443-8

Help docs: https://christensen-lab-dartmouth.github.io/MethylNet/

GitHub: https://github.com/Christensen-Lab-Dartmouth/MethylNet