Dongjun Yu
Orcid: 0000-0002-6786-8053
According to our database1,
Dongjun Yu
authored at least 96 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
FCMSTrans: Accurate Prediction of Disease-Associated nsSNPs by Utilizing Multiscale Convolution and Deep Feature Combination within a Transformer Framework.
J. Chem. Inf. Model., February, 2024
TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion.
J. Chem. Inf. Model., February, 2024
Inf. Sci., February, 2024
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction.
Briefings Bioinform., January, 2024
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference.
Briefings Bioinform., January, 2024
TransC-ac4C: Identification of N4-Acetylcytidine (ac4C) Sites in mRNA Using Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding Sites.
J. Chem. Inf. Model., 2024
J. Chem. Inf. Model., 2024
Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network.
Comput. Biol. Medicine, 2024
Briefings Bioinform., 2024
2023
Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.
Bioinform., December, 2023
MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction.
J. Chem. Inf. Model., November, 2023
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction.
Comput. Biol. Medicine, November, 2023
MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering.
Bioinform., August, 2023
TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.
Briefings Bioinform., May, 2023
Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm.
J. Chem. Inf. Model., February, 2023
PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method.
Bioinform., January, 2023
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants.
Briefings Bioinform., January, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain Adaptation.
J. Chem. Inf. Model., 2023
2022
Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction.
PLoS Comput. Biol., December, 2022
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction.
Genom. Proteom. Bioinform., October, 2022
Robust Least Squares Twin Support Vector Regression With Adaptive FOA and PSO for Short-Term Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2022
Protein-DNA Binding Residue Prediction via Bagging Strategy and Sequence-Based Cube-Format Feature.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Robust distance metric optimization driven GEPSVM classifier for pattern classification.
Pattern Recognit., 2022
Knowl. Based Syst., 2022
Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning.
J. Chem. Inf. Model., 2022
Enhancing Characteristic Gene Selection and Tumor Classification by the Robust Laplacian Supervised Discriminative Sparse PCA.
J. Chem. Inf. Model., 2022
PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations.
J. Chem. Inf. Model., 2022
Future Gener. Comput. Syst., 2022
PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data.
Bioinform., 2022
Bioinform., 2022
MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction.
Briefings Bioinform., 2022
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network.
Briefings Bioinform., 2022
Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion.
Briefings Bioinform., 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks.
PLoS Comput. Biol., 2021
TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features.
J. Chem. Inf. Model., 2021
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features.
Briefings Bioinform., 2021
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.
Briefings Bioinform., 2021
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites.
Briefings Bioinform., 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network.
J. Chem. Inf. Model., 2020
TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree.
J. Comput. Aided Mol. Des., 2020
2019
Signal Process., 2019
Int. J. Mach. Learn. Cybern., 2019
Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion.
Mach. Learn., 2019
DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines.
J. Chem. Inf. Model., 2019
ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks.
Bioinform., 2019
DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
2018
A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Least squares twin bounded support vector machines based on L1-norm distance metric for classification.
Pattern Recognit., 2018
L1-Norm GEPSVM Classifier Based on an Effective Iterative Algorithm for Classification.
Neural Process. Lett., 2018
ATPbind: Accurate Protein-ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons.
J. Chem. Inf. Model., 2018
LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening.
Bioinform., 2018
2017
Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method).
计算机科学, 2017
Efficient and Robust TWSVM Classifier Based on L1-Norm Distance Metric for Pattern Classification.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
Enhancing Protein-ATP and Protein-ADP Binding Sites Prediction Using Supervised Instance-Transfer Learning.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
2016
Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests.
Neurocomputing, 2016
KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning.
Neurocomputing, 2016
GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure.
Comput. Biol. Chem., 2016
2015
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Inf. Sci., 2015
Predicting Protein-Protein Interactions with Weighted PSSM Histogram and Random Forests.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015
2014
Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble.
BMC Bioinform., 2014
2013
Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble.
J. Comput. Chem., 2013
Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling.
Neurocomputing, 2013
2012
Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features.
BMC Bioinform., 2012
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
2009
Difference Relation-Based Rough Set and Negative Rules in Incomplete Information System.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009
Data Knowl. Eng., 2009
Proceedings of the Mathematics of Surfaces XIII, 2009
Proceedings of the Image Analysis and Processing, 2009
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2008
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system.
Inf. Sci., 2008
2007
Proceedings of the Fuzzy Information and Engineering, 2007
2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006
Proceedings of the Computational Intelligence, 2006
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
2004
An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments.
Pattern Recognit., 2004
2003
Intell. Data Anal., 2003