GitHub - ezachar/PeerJ: The code submitted with PeerJ paper entitled "Prediction of protein function using a deep convolutional neural network ensemble"

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The code submitted with PeerJ paper entitled "Prediction of protein function using a deep convolutional neural network ensemble"

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Code		Code
Data		Data
Results		Results
Copyright		Copyright
README		README
Zacharaki_PeerJ-CS_2017.pdf		Zacharaki_PeerJ-CS_2017.pdf

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1) Download the whole PeerJ folder. Don't delete the subfolder 'Data' and 'Results'.

2) Install MatConvNet 
   http://www.vlfeat.org/matconvnet/

3) Install libSVM
   https://www.csie.ntu.edu.tw/~cjlin/libsvm/

4) Enter the folder 'Code' and run the DEMO.m in MATLAB.
The DEMO runs on a very small dataset (20 proteins perc class) with CNN options such that the computational cost is minimal. It is meant only for demonstration of proof of concept. Results and achieved accuracies should be ignored.

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