Pengju Ding

According to our database, Pengju Ding authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

RPI-GGCN: Prediction of RNA-Protein Interaction Based on Interpretability Gated Graph Convolution Neural Network and Co-Regularized Variational Autoencoders.

Yifei Wang, Pengju Ding, Congjing Wang, Shiyue He, Xin Gao, Bin Yu

IEEE Trans. Neural Networks Learn. Syst., April, 2025

DeepUTF: Locating transcription factor binding sites via interpretable dual-channel encoder-decoder structure.

Pengju Ding, Jianxin Wang, Shiyue He, Xin Gao, Xu Yu, Bin Yu

Pattern Recognit., 2025

MSN-DTA: A multi-scale node adaptive graph neural network for interpretable drug-target binding affinity prediction.

Jianxin Wang, Pengju Ding, Yongxin Zhu, Xin Gao, Xu Yu, Bin Yu

Knowl. Based Syst., 2025

2024

ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks.

Congjing Wang, Yifei Wang, Pengju Ding, Shan Li, Xu Yu, Bin Yu

Comput. Biol. Medicine, March, 2024

Dynamic weighted knowledge distillation for brain tumor segmentation.

Dianlong An, Panpan Liu, Yan Feng, Pengju Ding, Weifeng Zhou, Bin Yu

Pattern Recognit., 2024

A weighted integration method based on graph representation learning for drug repositioning.

Haojie Lian, Pengju Ding, Chao Yu, Xinyu Zhang, Guozhu Liu, Bin Yu

Appl. Soft Comput., 2024

2023

DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape.

Pengju Ding, Yifei Wang, Xinyu Zhang, Xin Gao, Guozhu Liu, Bin Yu

Briefings Bioinform., July, 2023

Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction.

Yutong Yu, Pengju Ding, Hongli Gao, Guozhu Liu, Fa Zhang, Bin Yu

Briefings Bioinform., March, 2023