Yushan Qiu
Orcid: 0000-0002-9393-3648
According to our database1,
Yushan Qiu
authored at least 26 papers
between 2012 and 2023.
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Bibliography
2023
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data.
Briefings Bioinform., May, 2023
PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression.
PLoS Comput. Biol., March, 2023
scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
2022
A high-order norm-product regularized multiple kernel learning framework for kernel optimization.
Inf. Sci., 2022
MDICC: novel method for multi-omics data integration and cancer subtype identification.
Briefings Bioinform., 2022
2021
Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion.
Briefings Bioinform., 2021
Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition.
Briefings Bioinform., 2021
HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Cell Analysis.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Drug Side-Effect Profiles Prediction: From Empirical to Structural Risk Minimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
2019
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via <i>L</i><sub>1/2</sub>-regularization method.
Artif. Intell. Medicine, 2019
Exploring Observability of Attractor Cycles in Boolean Networks for Biomarker Detection.
IEEE Access, 2019
2018
BMC Syst. Biol., 2018
Appl. Soft Comput., 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence.
BMC Syst. Biol., 2017
2016
Exact Identification of the Structure of a Probabilistic Boolean Network from Samples.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
A systematic framework to derive <i>N</i>-glycan biosynthesis process and the automated construction of glycosylation networks.
BMC Bioinform., 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
PhD thesis, 2015
J. Syst. Sci. Complex., 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
On control of singleton attractors in multiple Boolean networks: integer programming-based method.
BMC Syst. Biol., 2014
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014
2013
Discovery of metabolite biomarkers: flux analysis and reaction-reaction network approach.
BMC Syst. Biol., 2013
2012
On optimal control policy for probabilistic Boolean network: a state reduction approach.
BMC Syst. Biol., 2012