Fei Guo
Orcid: 0000-0001-8346-0798Affiliations:
- Central South University, School of Computer Science and Engineering, Changsha , China
- Tianjin University, Tianjin, China
According to our database1,
Fei Guo
authored at least 114 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
ACM Comput. Surv., June, 2024
Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model.
IEEE Trans. Artif. Intell., May, 2024
TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation.
Expert Syst. Appl., March, 2024
Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis.
IEEE Trans. Artif. Intell., February, 2024
Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction.
Expert Syst. Appl., January, 2024
PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools.
Future Gener. Comput. Syst., 2024
Aggregate-aware model with bidirectional edge generation for medical image segmentation.
Appl. Soft Comput., 2024
2023
Pmf-cpi: assessing drug selectivity with a pretrained multi-functional model for compound-protein interactions.
J. Cheminformatics, December, 2023
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites.
Inf. Fusion, December, 2023
ComDock: A novel approach for protein-protein docking with an efficient fusing strategy.
Comput. Biol. Medicine, December, 2023
Development of a component-based integrated modeling framework for urban flood simulation.
Environ. Model. Softw., November, 2023
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model.
IEEE Trans. Artif. Intell., October, 2023
Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model.
Briefings Bioinform., July, 2023
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites.
Inf. Sci., June, 2023
IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction.
Briefings Bioinform., May, 2023
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types.
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
A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization.
Expert Syst. Appl., 2023
Proceedings of the Computer Science and Education. Computer Science and Technology, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization.
Neural Networks, 2022
Neural Comput. Appl., 2022
Inferring human microbe-drug associations via multiple kernel fusion on graph neural network.
Knowl. Based Syst., 2022
Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases.
Knowl. Based Syst., 2022
DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction.
J. Chem. Inf. Model., 2022
A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases.
Neurocomputing, 2022
Frontiers Comput. Sci., 2022
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation.
CoRR, 2022
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation.
CoRR, 2022
Bioinform., 2022
A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data.
Briefings Bioinform., 2022
HDIContact: a novel predictor of residue-residue contacts on hetero-dimer interfaces via sequential information and transfer learning strategy.
Briefings Bioinform., 2022
Identification of drug-side effect association via restricted Boltzmann machines with penalized term.
Briefings Bioinform., 2022
Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes.
Briefings Bioinform., 2022
Microbe-bridged disease-metabolite associations identification by heterogeneous graph fusion.
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
Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
BP-DDI: Drug-drug interaction prediction based on biological information and pharmacological text.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition.
IEEE J. Biomed. Health Informatics, 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
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
BMC Bioinform., 2021
A comprehensive overview and critical evaluation of gene regulatory network inference technologies.
Briefings Bioinform., 2021
Exploring effectiveness of ab-initio protein-protein docking methods on a novel antibacterial protein complex dataset.
Briefings 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
A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data.
Briefings Bioinform., 2021
SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences.
Briefings Bioinform., 2021
Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution.
Briefings Bioinform., 2021
MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction.
Briefings Bioinform., 2021
Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares.
Appl. Soft Comput., 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Multi-AMP: detecting the antimicrobial peptides and their activities using the multi-task learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
GEU-Net: Rethinking the information transmission in the skip connection of U-Net architecture.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
MIASNet: A medical image segmentation method predicting future based on past and current cases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides.
IEEE J. Biomed. Health Informatics, 2020
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 Highest-Affinity Binding Sites of Yeast Transcription Factor Families.
J. Chem. Inf. Model., 2020
Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion.
Neurocomputing, 2020
CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes.
Comput. Biol. Chem., 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
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 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
Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network.
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
Comput. Biol. Chem., 2019
Identifying protein-protein interface via a novel multi-scale local sequence and structural representation.
BMC Bioinform., 2019
LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information.
IEEE Access, 2019
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information.
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
Theor. Comput. Sci., 2018
BMC Syst. Biol., 2018
Progressive approach for SNP calling and haplotype assembly using single molecular sequencing data.
Bioinform., 2018
2017
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier.
J. Chem. Inf. Model., December, 2017
Inf. Sci., 2017
BMC Syst. Biol., 2017
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.
Artif. Intell. Medicine, 2017
2016
Neurocomputing, 2016
Core-genome scaffold comparison reveals the prevalence that inversion events are associated with pairs of inverted repeats.
CoRR, 2016
Comput. Biol. Chem., 2016
Predicting protein-protein interactions via multivariate mutual information of protein sequences.
BMC Bioinform., 2016
Proceedings of the Frontiers in Algorithmics, 10th International Workshop, 2016
2015
A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning.
Neural Networks, 2015
Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface.
J. Chem. Inf. Model., 2015
2014
J. Electronic Imaging, 2014
Probabilistic Models for Capturing More Physicochemical Properties on Protein-Protein Interface.
J. Chem. Inf. Model., 2014
Artif. Intell. Res., 2014
2013
Detecting Protein Conformational Changes in Interactions via Scaling Known Structures.
J. Comput. Biol., 2013
Proceedings of the Ninth International Conference on Natural Computation, 2013
2012
BMC Bioinform., 2012
Proceedings of the Bioinformatics Research and Applications - 8th International Symposium, 2012
2011
J. Chem. Inf. Model., 2011