Yongxian Fan

According to our database, Yongxian Fan authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

iDRKAN: Interpretable miRNA-Disease Association Prediction Based on Dual-Graph Representation Learning and Kolmogorov-Arnold Network.

Yangfeng Zhu, Yongxian Fan, Guicong Sun

IEEE Trans. Comput. Biol. Bioinform., 2026

MSGSNet: sequence learning enhanced with multi-scale De Bruijn graphs for transcription factor binding site prediction.

Ziyi Wang, Yongxian Fan, Zeheng Wu, Yangfeng Zhu, Guicong Sun

Neurocomputing, 2026

DeepHFFT-m7G: A dual-channel self-attention and hybrid feature fusion framework for RNA m7G modification identification.

Yongxian Fan, Zeheng Wu, Guicong Sun

Comput. Biol. Chem., 2026

2025

EGCPPIS: learning hierarchical equivariant graph representations with contrastive integration for protein-protein interaction site identification.

Guicong Sun, Yongxian Fan, Yangfeng Zhu, Mengxin Zheng

BMC Bioinform., December, 2025

MLC-DTA: Drug-target affinity prediction based on multi-level contrastive learning and equivariant graph neural networks.

Mengxin Zheng, Guicong Sun, Yongxian Fan

Neurocomputing, 2025

iEnhancer-DS: Attention-based improved densenet for identifying enhancers and their strength.

Yongxian Fan, Chen Wang, Guicong Sun

Comput. Biol. Chem., 2025

2024

iProL: identifying DNA promoters from sequence information based on Longformer pre-trained model.

Binchao Peng, Guicong Sun, Yongxian Fan

BMC Bioinform., December, 2024

EGPDI: identifying protein-DNA binding sites based on multi-view graph embedding fusion.

Mengxin Zheng, Guicong Sun, Xueping Li, Yongxian Fan

Briefings Bioinform., July, 2024

An Improved COVID-19 Classification Model on Chest Radiography by Dual-Ended Multiple Attention Learning.

Yongxian Fan, Hao Gong

IEEE J. Biomed. Health Informatics, January, 2024

2023

DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification.

Yongxian Fan, Hui Xiong, Guicong Sun

BMC Bioinform., December, 2023

IHCP: interpretable hepatitis C prediction system based on black-box machine learning models.

Yongxian Fan, Xiqian Lu, Guicong Sun

BMC Bioinform., December, 2023

ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites.

Yongxian Fan, Guicong Sun, Xiaoyong Pan

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

StackEPI: identification of cell line-specific enhancer-promoter interactions based on stacking ensemble learning.

Yongxian Fan, Binchao Peng

BMC Bioinform., 2022

GCRFLDA: scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field.

Yongxian Fan, Meijun Chen, Xiaoyong Pan

Briefings Bioinform., 2022

An Improved Tensor Network for Image Classification in Histopathology.

Yongxian Fan, Hao Gong

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021

I2DS: Interpretable Intrusion Detection System Using Autoencoder and Additive Tree.

Wenfeng Xu, Yongxian Fan, Changyong Li

Secur. Commun. Networks, 2021

PyConvU-Net: a lightweight and multiscale network for biomedical image segmentation.

Changyong Li, Yongxian Fan, Xiaodong Cai

BMC Bioinform., 2021

Using multi-layer perceptron to identify origins of replication in eukaryotes via informative features.

Yongxian Fan, Wanru Wang

BMC Bioinform., 2021

2020

lncLocPred: Predicting LncRNA Subcellular Localization Using Multiple Sequence Feature Information.

Yongxian Fan, Meijun Chen, Qingqi Zhu

IEEE Access, 2020