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BMC Bioinformatics|June 22, 2023
DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identificationYongxian Fan, Hui Xiong, Guicong SunBMC Bioinformatics|June 25, 2024
iProL: identifying DNA promoters from sequence information based on Longformer pre-trained modelBinchao Peng, Guicong Sun, Yongxian FanPlos One|September 21, 2023
An interpretable machine learning framework for diagnosis and prognosis of COVID-19Yongxian Fan, Meng Liu, Guicong SunComputational Biology and Chemistry|May 11, 2025
iEnhancer-DS: Attention-based improved densenet for identifying enhancers and their strengthYongxian Fan, Chen Wang, Guicong SunComputational Biology and Chemistry|November 28, 2025
DeepHFFT-m7G: A dual-channel self-attention and hybrid feature fusion framework for RNA m7G modification identificationYongxian Fan, Zeheng Wu, Guicong SunBMC Bioinformatics|September 6, 2023
IHCP: interpretable hepatitis C prediction system based on black-box machine learning modelsYongxian Fan, Xiqian Lu, Guicong SunIEEE/ACM Transactions on Computational Biology and Bioinformatics|May 10, 2022
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine SitesYongxian Fan, Guicong Sun, Xiaoyong PanIEEE Transactions on Computational Biology and Bioinformatics|November 19, 2025
iDRKAN: Interpretable miRNA-Disease Association Prediction Based on Dual-Graph Representation Learning and Kolmogorov-Arnold NetworkYangfeng Zhu, Yongxian Fan, Guicong SunInterdisciplinary Sciences, Computational Life Sciences|February 17, 2025
MVGNCDA: Identifying Potential circRNA-Disease Associations Based on Multi-view Graph Convolutional Networks and Network EmbeddingsGuicong Sun, Mengxin Zheng, Yongxian Fan, et al.IEEE Transactions on Computational Biology and Bioinformatics|May 21, 2026
FGAIM: Identifying Drug-Target Activation and Inhibition Mechanisms via Inductive Graph Neural Networks Based on Fine-Grained Interaction StrategiesYi Tang, Yongxian Fan, Guicong Sun, et al.Pageof 130