De novo profile generation based on sequence context specificity with the long short-term memory network

Volume: 19, Issue: 1
Published: Jul 18, 2018
Abstract
Long short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architecture. Amino acid sequence profiles are widely used for bioinformatics studies, such as sequence similarity searches, multiple alignments, and evolutionary analyses. Currently, many biological sequences are becoming...
Paper Details
Title
De novo profile generation based on sequence context specificity with the long short-term memory network
Published Date
Jul 18, 2018
Volume
19
Issue
1
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