Biswajit Senapati

Examine neural network models for protein sequencing based features prediction

The autoencoder framework encodes protein sequence information related to domains, families, and patterns—into a lengthy, sparse binary vector that outperforms other neural network models, including convolutional neural networks, recurrent neural networks, long short-term memory networks, and bidirectional long short-term memory networks.