MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors

• Hua Shi ,

  Roles Conceptualization, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: shihua@xmut.edu.cn

  Affiliation School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China

  https://orcid.org/0000-0001-8812-5737

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• Yihang Lin,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

  Affiliation School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China

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• Dachen Liu,

  Roles Data curation, Formal analysis, Validation, Writing – review & editing

  Affiliation School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China

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• Quan Zou

  Roles Conceptualization, Project administration, Supervision, Writing – review & editing

  Affiliations Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, Zhejiang, China, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

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