OneHotEncoding and LSTM-based deep learning models for protein secondary structure prediction.
Vamsidhar EnireddyC. KarthikeyanD. Vijendra BabuPublished in: Soft Comput. (2022)
Keyphrases
- learning models
- protein secondary structure prediction
- machine learning
- protein secondary structure
- learning algorithm
- loss function
- learning tasks
- semi supervised learning
- machine learning algorithms
- learning problems
- recurrent neural networks
- conditional random fields
- classification models
- data mining
- information extraction
- data sets
- reinforcement learning
- pairwise
- feature extraction
- feature selection
- machine learning models
- neural network