Protein secondary structure prediction using neural networks and deep learning: A review.
Wafaa WardahMohammed G. M. KhanAlok SharmaMahmood A. RashidPublished in: Comput. Biol. Chem. (2019)
Keyphrases
- deep learning
- protein secondary structure prediction
- neural network
- machine learning
- protein secondary structure
- unsupervised learning
- pattern recognition
- weakly supervised
- unsupervised feature learning
- back propagation
- deep architectures
- mental models
- reinforcement learning
- restricted boltzmann machine
- semi supervised
- neural nets
- bayesian networks
- text mining
- text classification
- maximum likelihood
- model selection
- knn
- feature selection
- computer vision