Transformer‐based DNA methylation detection on ionic signals from Oxford Nanopore sequencing data

Transformer is an algorithm that adopts self‐attention architecture in the neural networks and has been widely used in natural language processing. In the current study, we apply Transformer architecture to detect DNA methylation on ionic signals from Oxford Nanopore sequencing data. We evaluated th...

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Hlavní autoři:	Xiuquan Wang, Mian Umair Ahsan, Yunyun Zhou, Kai Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2023-09-01
Edice:	Quantitative Biology
Témata:	Nanopore long‐read sequencing deep learning Transformer model DNA methylation.
On-line přístup:	https://doi.org/10.15302/J-QB-022-0323
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