Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction

@inproceedings{Zhou2014DeepSA,
  title={Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction},
  author={Jian Zhou and Olga G. Troyanskaya},
  booktitle={ICML},
  year={2014}
}
Predicting protein secondary structure is a fundamental problem in protein structure prediction. Here we present a new supervised generative stochastic network (GSN) based method to predict local secondary structure with deep hierarchical representations. GSN is a recently proposed deep learning technique (Bengio & Thibodeau-Laufer, 2013) to globally train deep generative model. We present the supervised extension of GSN, which learns a Markov chain to sample from a conditional distribution… CONTINUE READING
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