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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Vydáno v:	International journal of molecular sciences Ročník 25; číslo 21; s. 11744
Hlavní autoři:	Song, Tao, Song, Haonan, Pan, Zhiyi, Gao, Yuan, Dai, Huanhuan, Wang, Xun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 01.11.2024 MDPI
Témata:	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
On-line přístup:	Získat plný text
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