DeepDualEnhancer: A Dual-Feature Input DNABert Based Deep Learning Method for Enhancer Recognition

Enhancers are cis-regulatory DNA sequences that are widely distributed throughout the genome. They can precisely regulate the expression of target genes. Since the features of enhancer segments are difficult to detect, we propose DeepDualEnhancer, a DNABert-based method using a multi-scale convoluti...

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Bibliographic Details
Published in:	International journal of molecular sciences Vol. 25; no. 21; p. 11744
Main Authors:	Song, Tao, Song, Haonan, Pan, Zhiyi, Gao, Yuan, Dai, Huanhuan, Wang, Xun
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.11.2024 MDPI
Subjects:	Algorithms Bioinformatics Computational Biology - methods Datasets Deep Learning DNA methylation Enhancer Elements, Genetic - genetics Gene expression Genetic aspects Genomes Genomics - methods Humans Identification and classification Machine learning Neural networks Neural Networks, Computer Nucleotide sequence Promoter Regions, Genetic Sequence Analysis, DNA - methods Support vector machines China deep learning DNABert enhancer genomic signal
ISSN:	1422-0067, 1661-6596, 1422-0067
Online Access:	Get full text
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