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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Prif Awduron:	Xiuquan Wang, Mian Umair Ahsan, Yunyun Zhou, Kai Wang
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	Wiley 2023-09-01
Cyfres:	Quantitative Biology
Pynciau:	Nanopore long‐read sequencing deep learning Transformer model DNA methylation.
Mynediad Ar-lein:	https://doi.org/10.15302/J-QB-022-0323
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!