MEGA-GO: functions prediction of diverse protein sequence length using Multi-scalE Graph Adaptive neural network

Authors

Peng Gao (ORCID: https://orcid.org/0009-0000-0848-9814)
Shuai Cheng Li (ORCID: https://orcid.org/0000-0001-6246-6349)
Ziyang Wang (ORCID: https://orcid.org/0000-0001-5294-4773)
Jiaxing Chen (ORCID: https://orcid.org/0000-0001-5795-6722)
Yongqi Xu
Yujian Lee (ORCID: https://orcid.org/0009-0003-2514-3913)

Institutions

Beijing Normal-Hong Kong Baptist University (CN)
Guangdong University of Technology (CN)
Hong Kong Baptist University (HK)
City University of Hong Kong (HK)
Guangdong Medical College (CN)
Beijing Normal University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-01-23
DOI: https://doi.org/10.1093/bioinformatics/btaf032
Citations: 2
Primary Topic: Bioinformatics and Genomic Networks
Type: article
Field-Weighted Citation Impact: 1.61

Funders

National Natural Science Foundation of China

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article

MEGA-GO: functions prediction of diverse protein sequence length using Multi-scalE Graph Adaptive neural network

Peng Gao, Shuai Cheng Li, Ziyang Wang, Jiaxing Chen et al.

Jan 23, 2025

2 citations

Bioinformatics

Bioinformatics and Genomic Networks

1.61

article

MEGA-GO: functions prediction of diverse protein sequence length using Multi-scalE Graph Adaptive neural network

Peng Gao, Shuai Cheng Li, Ziyang Wang, Jiaxing Chen, Yongqi Xu, Yujian Lee

January 23, 2025article en

2 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(2)

Beijing Normal-Hong Kong Baptist University (CN), Guangdong University of Technology (CN), Hong Kong Baptist University (HK), City University of Hong Kong (HK), Guangdong Medical College (CN), Beijing Normal University (CN)

National Natural Science Foundation of China

Industry, innovation and infrastructure

Openalex Percentile: Top 20%

Bioinformatics and Genomic Networks

1.61

DOI Open Access PDF OpenAlex

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MEGA-GO: functions prediction of diverse protein sequence length using Multi-scalE Graph Adaptive neural network — Peng Gao, Shuai Cheng Li, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS