Coregulation of alternative splicing by hnRNPM and ESRP1 during EMT SE Harvey, Y Xu, X Lin, XD Gao, Y Qiu, J Ahn, X Xiao, C Cheng Rna 24 (10), 1326-1338, 2018 | 74 | 2018 |
Stationary Mahalanobis kernel SVM for credit risk evaluation H Jiang, WK Ching, KFC Yiu, Y Qiu Applied Soft Computing 71, 407-417, 2018 | 59 | 2018 |
On control of singleton attractors in multiple Boolean networks: integer programming-based method Y Qiu, T Tamura, WK Ching, T Akutsu BMC systems biology 8, 1-10, 2014 | 36 | 2014 |
MDICC: novel method for multi-omics data integration and cancer subtype identification Y Yang, S Tian, Y Qiu, P Zhao, Q Zou Briefings in Bioinformatics 23 (3), bbac132, 2022 | 35 | 2022 |
A combinatorially regulated RNA splicing signature predicts breast cancer EMT states and patient survival Y Qiu, J Lyu, M Dunlap, SE Harvey, C Cheng Rna 26 (9), 1257-1267, 2020 | 24 | 2020 |
Drug side-effect profiles prediction: From empirical to structural risk minimization H Jiang, Y Qiu, W Hou, X Cheng, MY Yim, WK Ching IEEE/ACM transactions on computational biology and bioinformatics 17 (2 …, 2018 | 20 | 2018 |
Prediction of RNA-binding protein and alternative splicing event associations during epithelial–mesenchymal transition based on inductive matrix completion Y Qiu, WK Ching, Q Zou Briefings in Bioinformatics 22 (5), bbaa440, 2021 | 19 | 2021 |
Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial–mesenchymal transition Y Qiu, WK Ching, Q Zou Briefings in Bioinformatics 22 (6), bbab332, 2021 | 16 | 2021 |
Exact identification of the structure of a probabilistic Boolean network from samples X Cheng, T Mori, Y Qiu, WK Ching, T Akutsu IEEE/ACM transactions on computational biology and bioinformatics 13 (6 …, 2015 | 16 | 2015 |
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data Y Qiu, C Yan, P Zhao, Q Zou Briefings in Bioinformatics 24 (3), bbad149, 2023 | 14 | 2023 |
A systematic framework to derive N-glycan biosynthesis process and the automated construction of glycosylation networks W Hou, Y Qiu, N Hashimoto, WK Ching, KF Aoki-Kinoshita BMC bioinformatics 17, 465-472, 2016 | 14 | 2016 |
Discovery of metabolite biomarkers: flux analysis and reaction-reaction network approach L Li, H Jiang, Y Qiu, WK Ching, VS Vassiliadis BMC systems biology 7, 1-7, 2013 | 13 | 2013 |
Knowledge discovery for pancreatic cancer using inductive logic programming Y Qiu, K Shimada, N Hiraoka, K Maeshiro, WK Ching, KF Aoki‐Kinoshita, ... IET systems biology 8 (4), 162-168, 2014 | 12 | 2014 |
Construction of probabilistic Boolean network for credit default data R Liang, Y Qiu, WK Ching 2014 Seventh International Joint Conference on Computational Sciences and …, 2014 | 12 | 2014 |
Integer programming‐based method for observability of singleton attractors in Boolean networks X Cheng, Y Qiu, W Hou, WK Ching IET Systems Biology 11 (1), 30-35, 2017 | 9 | 2017 |
Unsupervised learning framework with multidimensional scaling in predicting epithelial-mesenchymal transitions Y Qiu, H Jiang, WK Ching IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020 | 8 | 2020 |
Towards prediction of pancreatic cancer using SVM study model Y Qiu, H Jiang, K Shimada, N Hiraoka, K Maeshiro, WK Ching, ... Journal of Clinical Oncology and Research, 2014 | 8 | 2014 |
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularization method Y Qiu, H Jiang, WK Ching, MK Ng Artificial Intelligence in Medicine 95, 96-103, 2019 | 7 | 2019 |
On optimal control policy for probabilistic Boolean network: a state reduction approach X Chen, H Jiang, Y Qiu, WK Ching BMC systems biology 6, 1-8, 2012 | 7 | 2012 |
ConSpaS: a contrastive learning framework for identifying spatial domains by integrating local and global similarities S Wu, Y Qiu, X Cheng Briefings in Bioinformatics 24 (6), bbad395, 2023 | 5 | 2023 |