NanoSSL: attention mechanism-based self-supervised learning method for protein identification using nanopores

Authors

Ziyan Zhang
Ying Zhou (ORCID: https://orcid.org/0000-0002-4801-3738)
Eamonn Kennedy (ORCID: https://orcid.org/0000-0002-9211-1271)
Bin Meng (ORCID: https://orcid.org/0000-0003-4214-7011)
H. Isaac Chen
Shuaijian Dai (ORCID: https://orcid.org/0000-0003-4747-9090)
Jindong Li (ORCID: https://orcid.org/0000-0001-9050-2896)
Nianzhi Jiao
Zhuxin Dong
Yong Xie

Institutions

Central South University (CN)
Shenyang Institute of Automation (CN)
National University of Defense Technology (CN)
Changsha University (CN)
University of Utah (US)

Publication Details

Journal: Bioinformatics
Published: 2025-12-05
DOI: https://doi.org/10.1093/bioinformatics/btaf657
Primary Topic: Nanopore and Nanochannel Transport Studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

NanoSSL: attention mechanism-based self-supervised learning method for protein identification using nanopores

Ziyan Zhang, Ying Zhou, Eamonn Kennedy, Bin Meng et al.

Dec 5, 2025

Bioinformatics

Nanopore and Nanochannel Transport Studies

article

NanoSSL: attention mechanism-based self-supervised learning method for protein identification using nanopores

Ziyan Zhang, Ying Zhou, Eamonn Kennedy, Bin Meng, H. Isaac Chen, Shuaijian Dai, Jindong Li, Nianzhi Jiao, Zhuxin Dong, Yong Xie

December 5, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 42(1)

Central South University (CN), Shenyang Institute of Automation (CN), National University of Defense Technology (CN), Changsha University (CN), University of Utah (US)

Openalex Percentile: Top 40%

Nanopore and Nanochannel Transport Studies

DOI Open Access PDF OpenAlex

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