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2020 – today
- 2023
[j20]Yushan Qiu
, Chang Yan, Pu Zhao, Quan Zou:
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. 24(3) (2023)- [j19]Liangjie Sun, Yushan Qiu, Wai-Ki Ching, Pu Zhao, Quan Zou:
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. 19(3) (2023) - [j18]Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu:
scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1431-1444 (2023) - 2022
- [j17]Ying Yang, Sha Tian, Yushan Qiu, Pu Zhao, Quan Zou:
MDICC: novel method for multi-omics data integration and cancer subtype identification. Briefings Bioinform. 23(3) (2022) - [j16]Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu:
A high-order norm-product regularized multiple kernel learning framework for kernel optimization. Inf. Sci. 606: 72-91 (2022) - 2021
- [j15]Yushan Qiu, Wai-Ki Ching, Quan Zou:
Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion. Briefings Bioinform. 22(5) (2021) - [j14]Yushan Qiu, Wai-Ki Ching, Quan Zou:
Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition. Briefings Bioinform. 22(6) (2021) - [j13]Yushan Qiu, Hao Jiang, Wai-Ki Ching:
Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2714-2723 (2021) - [c5]Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu:
HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Cell Analysis. ICIC (3) 2021: 66-76 - 2020
- [j12]Hao Jiang, Yushan Qiu, Wenpin Hou, Xiaoqing Cheng, Man Yi Yim, Wai-Ki Ching:
Drug Side-Effect Profiles Prediction: From Empirical to Structural Risk Minimization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 402-410 (2020)
2010 – 2019
- 2019
- [j11]Yushan Qiu, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Glen M. Borchert, Hao Jiang, Jingshan Huang:
Exploring Observability of Attractor Cycles in Boolean Networks for Biomarker Detection. IEEE Access 7: 127745-127753 (2019) - [j10]Yushan Qiu, Hao Jiang, Wai-Ki Ching, Michael K. Ng:
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularization method. Artif. Intell. Medicine 95: 96-103 (2019) - 2018
- [j9]Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu:
Stationary Mahalanobis kernel SVM for credit risk evaluation. Appl. Soft Comput. 71: 407-417 (2018) - [j8]Yushan Qiu, Hao Jiang, Wai-Ki Ching, Xiaoqing Cheng:
Discovery of Boolean metabolic networks: integer linear programming based approach. BMC Syst. Biol. 12(1): 53-60 (2018) - [c4]Yushan Qiu, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Ada Fong, Glen M. Borchert, Jingshan Huang:
Novel Method for Singleton and Cyclic Attractor Observability in Boolean Networks. BIBM 2018: 1526-1531 - 2017
- [j7]Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng:
Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence. BMC Syst. Biol. 11(6): 45-61 (2017) - 2016
- [j6]Wenpin Hou, Yushan Qiu, Nobuyuki Hashimoto, Wai-Ki Ching, Kiyoko F. Aoki-Kinoshita:
A systematic framework to derive N-glycan biosynthesis process and the automated construction of glycosylation networks. BMC Bioinform. 17(S-7): 240 (2016) - [j5]Xiaoqing Cheng, Tomoya Mori, Yushan Qiu, Wai-Ki Ching, Tatsuya Akutsu:
Exact Identification of the Structure of a Probabilistic Boolean Network from Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1107-1116 (2016) - [c3]Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng:
Unconstrained optimization in projection method for indefinite SVMs. BIBM 2016: 584-591 - 2015
- [b1]Yushan Qiu:
Mathematical models for biological networks and machine learning with applications. University of Hong Kong, 2015 - [j4]Hao Jiang, Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching:
On Eigen-matrix translation method for classification of biological data. J. Syst. Sci. Complex. 28(5): 1212-1230 (2015) - [c2]Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching, Hao Jiang, Tatsuya Akutsu:
On observability of attractors in Boolean Networks. BIBM 2015: 263-266 - 2014
- [j3]Yushan Qiu, Takeyuki Tamura, Wai-Ki Ching, Tatsuya Akutsu:
On control of singleton attractors in multiple Boolean networks: integer programming-based method. BMC Syst. Biol. 8(S-1): S7 (2014) - [c1]Ruochen Liang, Yushan Qiu, Wai-Ki Ching:
Construction of Probabilistic Boolean Network for Credit Default Data. CSO 2014: 11-15 - 2013
- [j2]Limin Li, Hao Jiang, Yushan Qiu, Wai-Ki Ching, Vassilios S. Vassiliadis:
Discovery of metabolite biomarkers: flux analysis and reaction-reaction network approach. BMC Syst. Biol. 7(S-2): S13 (2013) - 2012
- [j1]Xi Chen, Hao Jiang, Yushan Qiu, Wai-Ki Ching:
On optimal control policy for probabilistic Boolean network: a state reduction approach. BMC Syst. Biol. 6(S-1): S8 (2012)
Coauthor Index
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