Pengju Ding

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

Pengju Ding, Yifei Wang, Xinyu Zhang et al. · Briefings in Bioinformatics · 2023 · 32 citations · Full text

Convolutional Neural Network, Engineering, Autoencoders +20

Dynamic weighted knowledge distillation for brain tumor segmentation

Dianlong An, Panpan Liu, Feng Yan et al. · Pattern Recognition · 2024 · 20 citations

Engineering, Machine Learning, Data Science +7

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 et al. · IEEE Transactions on Neural Networks and Learning Systems · 2024 · 18 citations

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

Yutong Yu, Pengju Ding, Hongli Gao et al. · Briefings in Bioinformatics · 2023 · 17 citations · Full text

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 et al. · Computers in Biology and Medicine · 2024 · 17 citations

Systems Biology, Graph Representation Learning, Graph Theory +13