Shiwei Sun
Orcid: 0000-0002-0351-3720
According to our database1,
Shiwei Sun
authored at least 45 papers
between 2006 and 2023.
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Bibliography
2023
EMNGly: predicting N-linked glycosylation sites using the language models for feature extraction.
Bioinform., October, 2023
Accurate and efficient protein sequence design through learning concise local environment of residues.
Bioinform., March, 2023
SASA-Net: A Spatial-Aware Self-Attention Mechanism for Building Protein 3D Structure Directly From Inter- Residue Distances.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Numerical studies of domain sampling methods for inverse boundary value problems by one measurement.
J. Comput. Phys., 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Integrative Drug Discovery Platform: A Modular Approach for Efficient and Automated Virtual Screening.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
When Job Candidates Experience Social Media Privacy Violations: A Cross-Culture Study.
J. Glob. Inf. Manag., 2022
ProALIGN: Directly Learning Alignments for Protein Structure Prediction via Exploiting Context-Specific Alignment Motifs.
J. Comput. Biol., 2022
Seq-SetNet: directly exploiting multiple sequence alignment for protein secondary structure prediction.
Bioinform., 2022
More User Engagement in Online Community: Effects of Posting and Replying Behaviors on Detection of Depression.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
2021
J. Comput. Biol., 2021
BMC Bioinform., 2021
Filling gaps of genome scaffolds via probabilistic searching optical maps against assembly graph.
BMC Bioinform., 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
ISSEC: inferring contacts among protein secondary structure elements using deep object detection.
BMC Bioinform., 2020
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020
Mut-Detecter: An EGFR activating mutation type classification method with a deep convolutional neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
De novo glycan structural identification from mass spectra using tree merging strategy.
Comput. Biol. Chem., 2019
Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.
BMC Bioinform., 2019
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.
BMC Bioinform., 2019
Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling.
BMC Bioinform., 2019
Bioinform., 2019
Optimizing the Electronic Health Records Through Big Data Analytics: A Knowledge-Based View.
IEEE Access, 2019
Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Weighted 3D Markov Random Field.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
J. Comput. Inf. Syst., 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
DeepPPI: Boosting Prediction of Protein-Protein Interactions with Deep Neural Networks.
J. Chem. Inf. Model., June, 2017
Improving prediction of burial state of residues by exploiting correlation among residues.
BMC Bioinform., 2017
Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts.
Bioinform., 2017
2016
FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition.
Bioinform., 2016
Recovery Satisfaction, attitudinal Loyalty and Behavioural Loyalty: the Moderating Role of Perceived Risk.
Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016
2015
BMC Bioinform., December, 2015
Expert Syst. Appl., 2015
OpenMS-Simulator: an open-source software for theoretical tandem mass spectrum prediction.
BMC Bioinform., 2015
Job Applicants' Information Privacy-Protective Response: Exploring the Roles of Technology Readiness and Trust.
Proceedings of the 21st Americas Conference on Information Systems, 2015
2014
The Effect of Technology Usage Habits on Consumers' Intention to Continue Use Mobile Payments.
Proceedings of the 20th Americas Conference on Information Systems, 2014
2011
ProbPS: A new model for peak selection based on quantifying the dependence of the existence of derivative peaks on primary ion intensity.
BMC Bioinform., 2011
PI: An open-source software package for validation of the SEQUEST result and visualization of mass spectrum.
BMC Bioinform., 2011
2008
Proceedings of the Research in Computational Molecular Biology, 2008
2007
An Iterative Algorithm to Quantify Factors Influencing peptide Fragmentation during Tandem Mass Spectrometry.
J. Bioinform. Comput. Biol., 2007
2006
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data.
BMC Bioinform., 2006
Phylophenetic properties of metabolic pathway topologies as revealed by global analysis.
BMC Bioinform., 2006