Shao-Ping Shi
Orcid: 0000-0003-0045-868XAffiliations:
- Nanchang University, Department of Mathematics, School of Sciences, China
According to our database1,
Shao-Ping Shi
authored at least 17 papers
between 2012 and 2025.
Collaborative distances:
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Bibliography
2025
Uncertainty Quantification and Temperature Scaling Calibration for Protein-RNA Binding Site Prediction.
J. Chem. Inf. Model., 2025
2023
STAGAN: An approach for improve the stability of molecular graph generation based on generative adversarial networks.
Comput. Biol. Medicine, December, 2023
DeepGpgs: a novel deep learning framework for predicting arginine methylation sites combined with Gaussian prior and gated self-attention mechanism.
Briefings Bioinform., March, 2023
2022
PKSPS: a novel method for predicting kinase of specific phosphorylation sites based on maximum weighted bipartite matching algorithm and phosphorylation sequence enrichment analysis.
Briefings Bioinform., 2022
2021
J. Chem. Inf. Model., 2021
2020
Computational prediction and analysis of species-specific fungi phosphorylation via feature optimization strategy.
Briefings Bioinform., 2020
2019
PredGly: predicting lysine glycation sites for Homo sapiens based on XGboost feature optimization.
Bioinform., 2019
Proteomic analysis and prediction of amino acid variations that influence protein posttranslational modifications.
Briefings Bioinform., 2019
2018
Computational Prediction and Analysis for Tyrosine Post-Translational Modifications via Elastic Net.
J. Chem. Inf. Model., 2018
ProAcePred: prokaryote lysine acetylation sites prediction based on elastic net feature optimization.
Bioinform., 2018
2017
J. Chem. Inf. Model., November, 2017
Computational prediction of species-specific malonylation sites via enhanced characteristic strategy.
Bioinform., 2017
2016
Accurate <i>in silico</i> prediction of species-specific methylation sites based on information gain feature optimization.
Bioinform., 2016
2015
SuccFind: a novel succinylation sites online prediction tool via enhanced characteristic strategy.
Bioinform., 2015
Proteomic analysis and prediction of human phosphorylation sites in subcellular level reveal subcellular specificity.
Bioinform., 2015
2013
Incorporating key position and amino acid residue features to identify general and species-specific Ubiquitin conjugation sites.
Bioinform., 2013
2012
A novel algorithm combining support vector machine with the discrete wavelet transform for the prediction of protein subcellular localization.
Comput. Biol. Medicine, 2012