Enhancer-LSTMAtt: A Bi-LSTM and Attention-Based Deep Learning Method for Enhancer Recognition

Enhancer-LSTMAtt: A Bi-LSTM and Attention-Based Deep Learning Method for Enhancer Recognition

Enhancers are short DNA segments that play a key role in biological processes, such as accelerating transcription of target genes. Since the enhancer resides anywhere in a genome sequence, it is difficult to precisely identify enhancers. We presented a bi-directional long-short term memory (Bi-LSTM)...

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Bibliographic Details
Main Authors:	Guohua Huang, Wei Luo, Guiyang Zhang, Peijie Zheng, Yuhua Yao, Jianyi Lyu, Yuewu Liu, Dong-Qing Wei
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Biomolecules
Subjects:	enhancer promoter deep learning feed-forward attention convolution neural network long-short term memory
Online Access:	https://www.mdpi.com/2218-273X/12/7/995

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