Accurate prediction of toxicity peptide and its function using multi-view tensor learning and latent semantic learning framework

Authors

Ke Yan (ORCID: https://orcid.org/0000-0001-6314-0762)
Shutao Chen (ORCID: https://orcid.org/0000-0001-6188-2631)
Hao Wu (ORCID: https://orcid.org/0000-0003-0518-9511)
Bin Liu (ORCID: https://orcid.org/0000-0001-5381-3644)

Institutions

Beijing Institute of Technology (CN)
Beijing Electronic Science and Technology Institute (CN)
Beijing Academy of Social Sciences (CN)
Shenzhen Technology University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-09-01
DOI: https://doi.org/10.1093/bioinformatics/btaf489
Citations: 4
Primary Topic: Machine Learning in Bioinformatics
Type: article
Field-Weighted Citation Impact: 3.22

Funders

National Natural Science Foundation of China

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article

Accurate prediction of toxicity peptide and its function using multi-view tensor learning and latent semantic learning framework

Ke Yan, Shutao Chen, Hao Wu, Bin Liu

Sep 1, 2025

4 citations

Bioinformatics

Machine Learning in Bioinformatics

3.22

article

Accurate prediction of toxicity peptide and its function using multi-view tensor learning and latent semantic learning framework

Ke Yan, Shutao Chen, Hao Wu, Bin Liu

September 1, 2025article en

4 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(9)

Beijing Institute of Technology (CN), Beijing Electronic Science and Technology Institute (CN), Beijing Academy of Social Sciences (CN), Shenzhen Technology University (CN)

National Natural Science Foundation of China

Openalex Percentile: Top 8%

Machine Learning in Bioinformatics

3.22

DOI Open Access PDF OpenAlex

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