PCVR: a pre-trained contextualized visual representation for DNA sequence classification

PCVR significantly improves DNA sequence classification accuracy and shows strong potential for new species discovery due to its effective capture of global information and robustness. Codes for PCVR are available at https://github.com/jiaruizhou/PCVR .

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Publication Details

Journal
BMC Bioinformatics
Published
2025-05-09
DOI
https://doi.org/10.1186/s12859-025-06136-x
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.81
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article

PCVR: a pre-trained contextualized visual representation for DNA sequence classification

Hui Wu, Cong‐Zhao Zhou, Wengang Zhou, Houqiang Li et al.
1 citations
BMC Bioinformatics
Genomics and Phylogenetic Studies
0.81
article

PCVR: a pre-trained contextualized visual representation for DNA sequence classification

Hui Wu, Cong‐Zhao Zhou, Wengang Zhou, Houqiang Li, Kang Du, Jiarui Zhou
article en
1 citations

Abstract

PCVR significantly improves DNA sequence classification accuracy and shows strong potential for new species discovery due to its effective capture of global information and robustness. Codes for PCVR are available at https://github.com/jiaruizhou/PCVR .

BMC BioinformaticsVol. 26(1)
University of Science and Technology of China (CN)
Openalex Percentile: Top 28%
Genomics and Phylogenetic Studies
0.81
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