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duolinwang / MusiteDeep

MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep learning library Keras and Theano backend (the Keras2.0 and Tensorflow backend implementation were also provided under folder MusiteDeep_Keras2.0). At present, MusiteDeep only provides prediction of human phosphorylation sites; however, it also provides customized model training that enables users to train other PTM prediction models by using their own training data sets based on either CPU or GPU.
GNU General Public License v2.0
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Shift from Python 2.7 to Python 3 #8

Open nadzhou opened 3 years ago

nadzhou commented 3 years ago

The code is valuable we will need to shift it to Python 3 to make it compatible with the latest libraries in tensorflow.

duolinwang commented 3 years ago

Please try the version MusiteDeep_Keras2.0 it is compatible with python3. This version also compatible with python 3 just change some print xxx into print(xxx) it should work.

nadzhou commented 3 years ago

@duolinwang yeah. I'm thinking of doing it myself. there are some library differences.

prihoda commented 3 years ago

Hi @nadzhou and @duolinwang. Is there a version that currently supports Python 3? I see that code in the MusiteDeep_Keras2.0 directory in this repository still contains python 2 print statements. Thanks!

duolinwang commented 3 years ago

It actually works for python 3 if the python 2 print statements are changed into python 3 style. I did experiments using python 3 in other systems, just changed the print statements. I just forgot to update the codes.

Best, Duolin

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