BMI203-Final Project: Neural Network

What does this repo contain?

1. autoencoder.py: 8x3x8 autoencoder
2. RAP1.py: trains neural network to predict if a sequence will be a RAP1 binding site and predict held out test set
3. utils.py: basic io and encoding functions
4. rocCurve.py: calculates true positive and true negative rates and plots a ROC
5. visualizeParameters.py: creates 3D plot for AUC vs learing parameters

To test

Testing is as simple as running

python -m pytest

from the root directory of this project.