Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction

Abstract

Deep learning has become the state-of-the-art method for predicting protein secondary structure from only its amino acid residues and sequence profile. Building upon these results, we propose to combine a bi-directional recurrent neural network (biRNN) with a conditional random field (CRF), which we call the biRNN-CRF. The biRNN-CRF may be seen as an… (More)
DOI: 10.1145/3107411.3107489

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