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

6 Mar 2014Jian ZhouOlga G. Troyanskaya

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... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.