Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks von Pan, Xiaoyong, Shen, Hong-Bin

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Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks von Pan, Xiaoyong, Rijnbeek, Peter, Yan, Junchi, Shen, Hong-Bin

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RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach von Pan, Xiaoyong, Shen, Hong-Bin

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Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization von Chou, Kuo-Chen, Shen, Hong-Bin

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RBPsuite: RNA-protein binding sites prediction suite based on deep learning von Pan, Xiaoyong, Fang, Yi, Li, Xianfeng, Yang, Yang, Shen, Hong-Bin

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lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning von Lin, Yang, Pan, Xiaoyong, Shen, Hong-Bin

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Predicting gene regulatory interactions based on spatial gene expression data and deep learning von Yang, Yang, Fang, Qingwei, Shen, Hong-Bin

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A new method for predicting the subcellular localization of eukaryotic proteins with both single and multiple sites: Euk-mPLoc 2.0 von Chou, Kuo-Chen, Shen, Hong-Bin

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A comprehensive survey on protein-ligand binding site prediction von Xia, Ying, Pan, Xiaoyong, Shen, Hong-Bin

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BindWeb: A web server for ligand binding residue and pocket prediction from protein structures von Xia, Ying, Xia, Chunqiu, Pan, Xiaoyong, Shen, Hong‐Bin

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Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms von Chou, Kuo-Chen, Shen, Hong-Bin

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Heterogeneous sampled subgraph neural networks with knowledge distillation to enhance double-blind compound-protein interaction prediction von Xia, Ying, Pan, Xiaoyong, Shen, Hong-Bin

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Recent progress in protein subcellular location prediction von Chou, Kuo-Chen, Shen, Hong-Bin

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Cross-modal de-deviation for enhancing few-shot classification von Pan, Mei-Hong, Shen, Hong-Bin

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Incorporating label correlations into deep neural networks to classify protein subcellular location patterns in immunohistochemistry images von Hu, Jin‐Xian, Yang, Yang, Xu, Ying‐Ying, Shen, Hong‐Bin

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Recent methodology progress of deep learning for RNA–protein interaction prediction von Pan, Xiaoyong, Yang, Yang, Xia, Chun‐Qiu, Mirza, Aashiq H., Shen, Hong‐Bin

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Ensemble classifier for protein fold pattern recognition von Shen, Hong-Bin, Chou, Kuo-Chen

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Fast protein structure comparison through effective representation learning with contrastive graph neural networks von Xia, Chunqiu, Feng, Shi-Hao, Xia, Ying, Pan, Xiaoyong, Shen, Hong-Bin

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SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images von Tu, Yanlun, Lei, Houchao, Shen, Hong-Bin, Yang, Yang

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High-accuracy protein model quality assessment using attention graph neural networks von Zhang, Peidong, Xia, Chunqiu, Shen, Hong-Bin

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