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Article

Self-supervised learning for DNA sequences with circular dilated convolutional networks

2023-02-01

Abstract excerpt

Due to their intrinsic properties, DNA molecules commonly exhibit long-range interactions along a linear sequence representation. Taking this information into account when modeling DNA sequences is therefore important for obtaining more accurate sequence-based inference. Many deep learning methods have recently been developed for this purpose, but they still suffer from two major issues. First, the existing method...

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Identifiers and source

Literature Corpus work
15c3bc37-f753-500b-bc93-6bd701d9f138
DOI
10.1101/2023.01.30.526193
Open publication

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Self-supervised learning for DNA sequences with circular dilated convolutional networksDOI 10.1101/2023.01.30.526193
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