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

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

Abstract Background 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...

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Bibliographic Details
Main Authors: Kazunori D. Yamada, Kengo Kinoshita
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Bioinformatics
Subjects:
Long short-term memory
Deep learning
Neural networks
Sequence context
Similarity search
Protein sequence profile
Online Access:http://link.springer.com/article/10.1186/s12859-018-2284-1

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http://link.springer.com/article/10.1186/s12859-018-2284-1

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