HBFormer: a single-stream framework based on hybrid attention mechanism for identification of human-virus protein–protein interactions

Authors

Tianyi Zhao (ORCID: https://orcid.org/0000-0003-1913-081X)
Liyuan Zhang (ORCID: https://orcid.org/0000-0003-2631-5900)
Yadong Wang (ORCID: https://orcid.org/0000-0002-0028-0263)
Sicong Wang (ORCID: https://orcid.org/0009-0009-6779-5112)

Institutions

Harbin Institute of Technology (CN)
Heilongjiang Institute of Technology (CN)

Publication Details

Journal: Bioinformatics
Published: 2024-11-28
DOI: https://doi.org/10.1093/bioinformatics/btae724
Citations: 2
Primary Topic: Machine Learning in Bioinformatics
Type: article
Field-Weighted Citation Impact: 0.47

Funders

National Natural Science Foundation of China

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article

HBFormer: a single-stream framework based on hybrid attention mechanism for identification of human-virus protein–protein interactions

Tianyi Zhao, Liyuan Zhang, Yadong Wang, Sicong Wang

Nov 28, 2024

2 citations

Bioinformatics

Machine Learning in Bioinformatics

0.47

article

HBFormer: a single-stream framework based on hybrid attention mechanism for identification of human-virus protein–protein interactions

Tianyi Zhao, Liyuan Zhang, Yadong Wang, Sicong Wang

November 28, 2024article en

2 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(12)

Harbin Institute of Technology (CN), Heilongjiang Institute of Technology (CN)

National Natural Science Foundation of China

Openalex Percentile: Top 33%

Machine Learning in Bioinformatics

0.47

DOI Open Access PDF OpenAlex

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