Yijie Ding

Orcid: 0000-0003-2911-7643

According to our database1, Yijie Ding authored at least 75 papers between 2015 and 2024.

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Bibliography

2024
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning.
Frontiers Comput. Sci., April, 2024

Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis.
IEEE Trans. Artif. Intell., February, 2024

Postoperative delirium prediction after cardiac surgery using machine learning models.
Comput. Biol. Medicine, February, 2024

AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism.
Neural Networks, January, 2024

Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction.
Expert Syst. Appl., January, 2024

2023
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites.
Inf. Fusion, December, 2023

MLapRVFL: Protein sequence prediction based on Multi-Laplacian Regularized Random Vector Functional Link.
Comput. Biol. Medicine, December, 2023

Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model.
IEEE Trans. Artif. Intell., October, 2023

DNA protein binding recognition based on lifelong learning.
Comput. Biol. Medicine, September, 2023

A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites.
Inf. Sci., June, 2023

Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model.
Comput. Biol. Medicine, June, 2023

Identification of DNA-binding proteins by Kernel Sparse Representation via L2,1-matrix norm.
Comput. Biol. Medicine, June, 2023

Subspace projection-based weighted echo state networks for predicting therapeutic peptides.
Knowl. Based Syst., March, 2023

A review of methods for predicting DNA N6-methyladenine sites.
Briefings Bioinform., January, 2023

Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

SBSM-Pro: Support Bio-sequence Machine for Proteins.
CoRR, 2023

2022
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites.
IEEE Trans. Fuzzy Syst., 2022

Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization.
Neural Networks, 2022

Inferring human microbe-drug associations via multiple kernel fusion on graph neural network.
Knowl. Based Syst., 2022

MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity.
Knowl. Based Syst., 2022

Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases.
Knowl. Based Syst., 2022

A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases.
Neurocomputing, 2022

HKAM-MKM: A hybrid kernel alignment maximization-based multiple kernel model for identifying DNA-binding proteins.
Comput. Biol. Medicine, 2022

Impact of quarantine on fractional order dynamical model of Covid-19.
Comput. Biol. Medicine, 2022

Using a machine learning-based risk prediction model to analyze the coronary artery calcification score and predict coronary heart disease and risk assessment.
Comput. Biol. Medicine, 2022

Random Fourier features-based sparse representation classifier for identifying DNA-binding proteins.
Comput. Biol. Medicine, 2022

RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs.
Comput. Biol. Medicine, 2022

Identification of drug-side effect association via restricted Boltzmann machines with penalized term.
Briefings Bioinform., 2022

Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization.
Briefings Bioinform., 2022

Identification of DNA N4-methylcytosine sites via fuzzy model on self representation.
Appl. Soft Comput., 2022

Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model.
Appl. Intell., 2022

A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Prompt Learning for Multi-modal COVID-19 Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

iEnhancer-KL: A Novel Two-Layer Predictor for Identifying Enhancers by Position Specific of Nucleotide Composition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information.
Neural Comput. Appl., 2021

Identification of drug-target interactions via multi-view graph regularized link propagation model.
Neurocomputing, 2021

A sequence-based multiple kernel model for identifying DNA-binding proteins.
BMC Bioinform., 2021

Research on RNA secondary structure predicting via bidirectional recurrent neural network.
BMC Bioinform., 2021

Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment.
Briefings Bioinform., 2021

Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares.
Appl. Soft Comput., 2021

Membrane Protein Identification via Multiple Kernel Fuzzy SVM.
Proceedings of the Intelligent Computing Theories and Application, 2021

Research on RNA Secondary Structure Prediction Based on MLP.
Proceedings of the Intelligent Computing Theories and Application, 2021

A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2021

Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Identification of drug-target interactions via fuzzy bipartite local model.
Neural Comput. Appl., 2020

Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion.
Knowl. Based Syst., 2020

Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion.
Neurocomputing, 2020

Identification of human microRNA-disease association via hypergraph embedded bipartite local model.
Comput. Biol. Chem., 2020

Critical evaluation of web-based prediction tools for human protein subcellular localization.
Briefings Bioinform., 2020

Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation.
Appl. Soft Comput., 2020

An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning.
IEEE J. Biomed. Health Informatics, 2019

Identification of drug-side effect association via multiple information integration with centered kernel alignment.
Neurocomputing, 2019

Ranking near-native candidate protein structures via random forest classification.
BMC Bioinform., 2019

LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information.
IEEE Access, 2019

A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information.
Proceedings of the Intelligent Computing Theories and Application, 2019

Research on RNA Secondary Structure Prediction Based on Decision Tree.
Proceedings of the Intelligent Computing Theories and Application, 2019

Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Prediction of human protein subcellular localization using deep learning.
J. Parallel Distributed Comput., 2018

2017
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier.
J. Chem. Inf. Model., December, 2017

Identification of drug-target interactions via multiple information integration.
Inf. Sci., 2017

2016
Protein-protein interface prediction based on hexagon structure similarity.
Comput. Biol. Chem., 2016

Predicting protein-protein interactions via multivariate mutual information of protein sequences.
BMC Bioinform., 2016

2015
Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface.
J. Chem. Inf. Model., 2015


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