Author

Minqing Yan

Zhejiang University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Cong FengiD· 1 shared Enyan Liu· 1 shared Haoyu ChaoiD· 1 shared Liya LiuiD· 1 shared Ming CheniD· 1 shared Qinyang Ni· 1 shared Shilong ZhangiD· 1 shared Sida LiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Cong FengORCID

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1 paper

Recent·Most cited

Improved Prediction of Bacterial Type VI Secretion Effector Proteins Using an Integrated Convolutional Neural Network Model Combining N-terminal Signal Sequences, Evolutionary Information and Pre-Trained Protein Language Features

Yueming Hu, Minqing Yan, Yanyan Zhu, Haoyu Chao, Sida Li, Qinyang Ni, Yanshi Hu, Enyan Liu, Liya Liu, Yifan Chen, Zeya Zhou, Yuhao Chen, Shilong Zhang, Yejun Wang, Cong Feng, Ming Chen

This paper introduces T6CNN, a model that improves T6SE prediction by integrating signal sequences, evolutionary data, and pre-trained features, achieving higher accuracy, sensitivity, and specificity than existing tools.

bioRxiv · Mar 7, 2025 · PreprintBioinformatics