Shunfang Wang
Orcid: 0000-0002-1927-8753
According to our database1,
Shunfang Wang
authored at least 40 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
AttCON: With better MSAs and attention mechanism for accurate protein contact map prediction.
Comput. Biol. Medicine, February, 2024
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation.
CoRR, 2024
2023
Multi-dimensional search for drug-target interaction prediction by preserving the consistency of attention distribution.
Comput. Biol. Chem., December, 2023
Bioinform., December, 2023
MMS-Net: Multi-level multi-scale feature extraction network for medical image segmentation.
Biomed. Signal Process. Control., September, 2023
EIU-Net: Enhanced feature extraction and improved skip connections in U-Net for skin lesion segmentation.
Comput. Biol. Medicine, August, 2023
Entropy, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A protein succinylation sites prediction method based on the hybrid architecture of LSTM network and CNN.
J. Bioinform. Comput. Biol., 2022
SE-BLTCNN: A channel attention adapted deep learning model based on PSSM for membrane protein classification.
Comput. Biol. Chem., 2022
Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences, 2022
2021
BMC Bioinform., 2021
Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensemble.
BMC Bioinform., 2021
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
RNA-binding protein sequence prediction method based on ensemble learning and data over-sampling.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021
DNA protein binding motif prediction based on fusion of expectation pooling and LSTM.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021
Identifying Enhancers and Their Strength Based on PCWM Feature by A Two-Layer Predictor.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021
IMAL: An Improved Meta-learning Approach for Few-shot Classification of Plant Diseases.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Multi-feature fusion and dimensional reduction based on the two-step deep ontology and the conjoint triad for the identification of cancerlectins.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Prediction of Anuran Antimicrobial Peptides Using AdaBoost and Improved PSSM Profiles.
Proceedings of the BIBE 2020: The Fourth International Conference on Biological Information and Biomedical Engineering, 2020
2019
Prediction of oxidoreductase subfamily classes based on RFE-SND-CC-PSSM and machine learning methods.
J. Bioinform. Comput. Biol., 2019
Efficient utilization on PSSM combining with recurrent neural network for membrane protein types prediction.
Comput. Biol. Chem., 2019
Prediction of protein structural classes by different feature expressions based on 2-D wavelet denoising and fusion.
BMC Bioinform., 2019
Accurate classification of membrane protein types based on sequence and evolutionary information using deep learning.
BMC Bioinform., 2019
An Improved Process for Generating Uniform PSSMs and Its Application in Protein Subcellular Localization via Various Global Dimension Reduction Techniques.
IEEE Access, 2019
2018
Prediction for Membrane Protein Types Based on Effective Fusion Representation and MIC-GA Feature Selection.
IEEE Access, 2018
Predicting Membrane Protein Subcellular Localization from Gene Ontology Terms Based on a Deep Learning Model.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018
Using Support Tensor Mechine for Predicting Cell Penetrating Peptides by Fusing DipC and TipC.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018
2017
Kernel principal component analysis based on semi-supervised dimensionality reduction and its application on protein subnuclear localization.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
An ensemble classifier based on stacked generalization for predicting membrane protein types.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
Multi-structure feature fusion for face recognition based on multi-resolution exaction.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
Protein sub-cellular localization based on noise-intensity-weighted linear discriminant analysis and an improved k-nearest-neighbor classifier.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
Recognition of partially occluded face by error detection with logarithmic operator and KPCA.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
2015
A New Feature Extraction Method Based on the Information Fusion of Entropy Matrix and Covariance Matrix and Its Application in Face Recognition.
Entropy, 2015
2014
Proceedings of the 13th IEEE International Conference on Trust, 2014
A kernel principal component analysis algorithm based on sample selection according to pseudo-eigenvalue contribution.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014
2013
Statistical inference of risk ratio in a correlated 2 × 2 table with structural zero.
Comput. Stat., 2013
2006
Analysis of the risk difference of marginal and conditional probabilities in an incomplete correlated 2×2 table.
Comput. Stat. Data Anal., 2006