Title: Lecturer, Master Supervisor
Office: Administrative Center Room 207
Email: gszhang@stu.edu.cn
Biography
Dr. Zhang Guishan received her Doctor of Engineering degree from Sun Yat-sen University in 2020. Since November 2020, she has served as a Lecturer in the Department of Electronic Engineering, College of Engineering, Shantou University.
Her research interests include machine learning, bioinformatics computing, data mining, and pattern recognition, with a primary focus on artificial intelligence algorithm research for biological data. She has published numerous papers in renowned international journals such as Briefings in Bioinformatics and Computers in Biology and Medicine. She holds 2 granted national invention patents and serves as a peer reviewer for academic journals including Computational and Structural Biotechnology Journal.
Courses Taught
Fundamentals of Electric Circuits (Spring 2021–2022, Spring 2023–2024)
Principles of Database Systems (Autumn 2021–2022, Spring 2022–2023, Autumn 2023–2024)
Research Projects
Young Scientists Fund of the National Natural Science Foundation of China, Jan. 2022 – Dec. 2024, Principal Investigator
General Project of Guangdong Basic and Applied Basic Research Foundation, Jan. 2022 – Dec. 2024, Principal Investigator
Representative Publications
Ye Luo, Yaowen Chen, Huanzeng Xie, Wentao Zhu, Guishan Zhang. Interpretable CRISPR/Cas9 off-target activities with mismatches and indels prediction using BERT. Computers in Biology and Medicine, Feb. 2024, 169: 107932.
Guishan Zhang, Ye Luo, Zhiming Dai, Xianhua Dai. Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on- and off-target activities. Briefings in Bioinformatics, Sep. 22 2023, 24(6): bbad333.
Guishan Zhang, Tian Zeng, Zhiming Dai, Xianhua Dai. Prediction of CRISPR/Cas9 single guide RNA cleavage efficiency and specificity by attention-based convolutional neural networks. Computational and Structural Biotechnology Journal, 2021.
Guishan Zhang, Zhiming Dai, Xianhua Dai. C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks. Computational and Structural Biotechnology Journal, 2020, 18: 344–354.
Guishan Zhang, Yiyun Deng, Qingyu Liu, Bingxu Ye, Zhiming Dai, Yaowen Chen, Xianhua Dai. Identifying circular RNA and predicting its regulatory interactions by machine learning. Frontiers in Genetics, 2020, 11: 655.
Granted Patents
Zhang Guishan et al. Machine Learning-Based Prediction Method for circRNA-miRNA and circRNA-RBP Interactions. Patent No.: 202110634359.4, Granted Jun. 21, 2022.
Zhang Guishan et al. Ensemble Learning-Based Prediction Method for circRNA-miRNA Interactions. Patent No.: 202110634358.X, Granted Mar. 22, 2022.
Research & Competition Awards
Third Prize, 16th “GigaDevice Cup” China Postgraduate Electronic Design Competition
(Participating project: Key Technologies and System Integration of Intelligent Pre-hospital Cardiopulmonary Resuscitation), 2021
(Co-supervisor)
