Author

Lei Cheng

Norwegian University of Science and TechnologyORCID 0000-0002-0097-0547Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:plant (other)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

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Jukka CoranderiD· 1 shared Ruslan KhalitoviD· 1 shared Tero A. AittokallioiD· 1 shared Tong YuiD· 1 shared Zhirong YangiD· 1 shared

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2023-2023 · peak 1/yr

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1 shared paperBioinformatics

Jukka CoranderORCID

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1 paper

Recent·Most cited

BioinformaticsNeural NetworksPeer-reviewedDec 2, 2023

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

Lei Cheng, Tong Yu, Tero A. Aittokallio…·Zhirong Yang

The paper introduces a self-supervised deep learning framework for DNA sequence analysis that improves variant effect prediction and open chromatin region prediction across human and plant genomes.

12 citations

humanplant (other)

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