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Shu-Lin Wang
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2020 – today
- 2023
- [j26]Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li:
LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization. IEEE Access 11: 59071-59080 (2023) - 2022
- [j25]Yue Liu, Junfeng Zhang, Shu-Lin Wang, Xiangxiang Zeng, Wei Zhang:
Are dropout imputation methods for scRNA-seq effective for scATAC-seq data? Briefings Bioinform. 23(1) (2022) - [j24]Wen Li, Shu-Lin Wang, Junlin Xu, Ju Xiang:
Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3190-3201 (2022) - [c28]Shu-Lin Wang, I-En Chiang, Alex Kuo, Jing-Ya Lin:
Mobile Emotion Healthcare System Applying Sentiment analysis. IEEE Big Data 2022: 2814-2820 - 2021
- [j23]Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li:
A neural collaborative filtering method for identifying miRNA-disease associations. Neurocomputing 422: 176-185 (2021) - [j22]Wei Zhang, Shu-Lin Wang, Yue Liu:
Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data. J. Comput. Biol. 28(10): 1007-1020 (2021) - [j21]Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Su Zhou, Wen Li:
DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1763-1772 (2021) - [c27]Yue Liu, Shu-Lin Wang:
A Novel Approach for Predicting Microbe-Disease Associations by Structural Perturbation Method. ICIC (3) 2021: 211-221 - 2020
- [j20]Lei Tian, Shu-Lin Wang:
Exploring the potential microRNA sponge interactions of breast cancer based on some known interactions. J. Bioinform. Comput. Biol. 18(3): 2050007:1-2050007:15 (2020) - [c26]Fouad Kharroubi, Yassine El Kati, Shu-Lin Wang, Mohammed El Jourmi, Hassan Ouahmane:
A New Maximum Weight Submatrix Solver Tool for Identifying Mutated Driver Pathways in Cancer using Python. CCWC 2020: 895-900 - [c25]Lei Tian, Shu-Lin Wang, Xing Zhong:
Exploring lncRNA-MRNA Regulatory Modules Based on lncRNA Similarity in Breast Cancer. ICIC (2) 2020: 57-66
2010 – 2019
- 2019
- [j19]Shu-Lin Wang, Hsin-I Lin:
Integrating TTF and IDT to evaluate user intention of big data analytics in mobile cloud healthcare system. Behav. Inf. Technol. 38(9): 974-985 (2019) - [j18]Guo Mao, Shu-Lin Wang, Wei Zhang:
Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model. J. Comput. Biol. 26(9): 1030-1039 (2019) - [j17]Wei Zhang, Shu-Lin Wang:
An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 455-464 (2019) - [c24]Jun Chen, Shu-Lin Wang, Hong-Li Lin:
Out-of-Stock Detection Based on Deep Learning. ICIC (1) 2019: 228-237 - [c23]Zhi Cao, Junfeng Zhang, Shu-Lin Wang, Yue Liu:
A Novel Approach for Predicting LncRNA-Disease Associations by Structural Perturbation Method. ICIC (2) 2019: 235-246 - [c22]Guo Mao, Shu-Lin Wang:
A Novel Approach to Predicting MiRNA-Disease Associations. ICIC (2) 2019: 354-365 - [c21]Shu-Lin Wang, I-En Chiang, Alex Kuo, Hsin-I Lin:
Design and Usability Evaluation of Mobile Cloud Healthcare System for Diabetes Prevention. ITCH 2019: 455-459 - 2018
- [j16]Wei Zhang, Shu-Lin Wang:
Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data. IEEE Access 6: 22889-22898 (2018) - [j15]Wei Zhang, Shu-Lin Wang:
An efficient strategy for identifying cancer-related key genes based on graph entropy. Comput. Biol. Chem. 74: 142-148 (2018) - [j14]Dan Luo, Shu-Lin Wang, Jianwen Fang, Wei Zhang:
MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering. J. Bioinform. Comput. Biol. 16(1): 1750028:1-1750028:18 (2018) - [j13]Yue Liu, Shu-Lin Wang, Jun-Feng Zhang:
Prediction of Microbe-Disease Associations by Graph Regularized Non-Negative Matrix Factorization. J. Comput. Biol. 25(12): 1385-1394 (2018) - [c20]Jiawei Lei, Shu-Lin Wang, Jianwen Fang:
Combining mRNA, microRNA, Protein Expression Data and Driver Genes Information for Identifying Cancer-Related MicroRNAs. ICIC (2) 2018: 289-300 - 2017
- [j12]Chao Pei, Shu-Lin Wang, Jianwen Fang, Wei Zhang:
GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif. J. Comput. Biol. 24(12): 1243-1253 (2017) - [c19]Jin Li, Shu-Lin Wang, Jingjing Wang:
Research on Feature Selection and Predicting ALS Disease Progression. ICIC (1) 2017: 235-246 - [c18]Dan Luo, Shu-Lin Wang, Jianwen Fang:
Combining Gene Expression and Interactions Data with miRNA Family Information for Identifying miRNA-mRNA Regulatory Modules. ICIC (2) 2017: 311-322 - 2016
- [j11]Shu-Lin Wang, Young-Long Chen, Alex Mu-Hsing Kuo, Hung-Ming Chen, Yi-Shiang Shiu:
Design and evaluation of a cloud-based Mobile Health Information Recommendation system on wireless sensor networks. Comput. Electr. Eng. 49: 221-235 (2016) - [c17]Shu-Lin Wang, Jin Li, Jianwen Fang:
Predicting Progression of ALS Disease with Random Frog and Support Vector Regression Method. ICIC (3) 2016: 160-170 - [c16]Shu-Lin Wang, Yiyan Tan:
Dynamically Heuristic Method for Identifying Mutated Driver Pathways in Cancer. ICIC (1) 2016: 366-376 - 2015
- [c15]Shu-Lin Wang, Mu-Hsing Kuo, Yi-Shiang Shiu, Hsiu-Mei Huang:
A Recommendation-based Mobile Web Application for Health Information Service. ITCH 2015: 337-341 - 2014
- [j10]Shu-Lin Wang, Liuchao Sun, Jianwen Fang:
Molecular cancer classification using a meta-sample-based regularized robust coding method. BMC Bioinform. 15(S-15): S2 (2014) - [j9]Boyun Zhang, Jianping Yin, Shu-Lin Wang, Xi-ai Yan:
Research on virus detection technique based on ensemble neural network and SVM. Neurocomputing 137: 24-33 (2014) - [c14]André Kushniruk, Elizabeth M. Borycki, Mu-Hsing Kuo, Eric Parapini, Shu-Lin Wang, Kendall Ho:
Requirements for Prototyping an Educational Electronic Health Record: Experiences and Future Directions. MIE 2014: 833-837 - [c13]Shu-Lin Wang, Mu-Hsing Kuo, Hung-Ming Chen, André Kushniruk, Elizabeth M. Borycki, Yi-Hsiang Hsu:
Usability Evaluation of a Cloud Computing Based Context-aware Healthcare System. MIE 2014: 1194 - [c12]Chung-Hua Chu, Shu-Lin Wang, Bi-Chi Tseng:
Study of Mobile Value-Added Services with Augmented Reality. PAKDD Workshops 2014: 199-203 - 2013
- [j8]Shu-Lin Wang, Yaping Fang, Jianwen Fang:
Diagnostic prediction of complex diseases using phase-only correlation based on virtual sample template. BMC Bioinform. 14(S-8): S11 (2013) - [j7]Wen-Sheng Tang, Shao-Hua Jiang, Shu-Lin Wang:
Gray scale potential: A new feature for sparse image. Neurocomputing 116: 112-121 (2013) - [j6]Jia-Bao Wen, Yue-Shan Xiong, Shu-Lin Wang:
A novel two-stage weak classifier selection approach for adaptive boosting for cascade face detector. Neurocomputing 116: 122-135 (2013) - [c11]Shu-Lin Wang, Yaping Fang, Jianwen Fang:
A Simple but Robust Complex Disease Classification Method Using Virtual Sample Template. ICIC (3) 2013: 73-80 - 2012
- [j5]Shu-Lin Wang, Xueling Li, Jianwen Fang:
Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification. BMC Bioinform. 13: 178 (2012) - 2011
- [j4]Shu-Lin Wang, Chun-Yi Wu:
Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system. Expert Syst. Appl. 38(9): 10831-10838 (2011) - [c10]Shu-Lin Wang, Min Li, Hongqiang Wang:
Using 2D Principal Component Analysis to Reduce Dimensionality of Gene Expression Profiles for Tumor Classification. ICIC (3) 2011: 588-595 - 2010
- [j3]Jie Gui, Shu-Lin Wang, Ying-Ke Lei:
Multi-step dimensionality reduction and semi-supervised graph-based tumor classification using gene expression data. Artif. Intell. Medicine 50(3): 181-191 (2010) - [j2]Shu-Lin Wang, Xueling Li, Shanwen Zhang, Jie Gui, De-Shuang Huang:
Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction. Comput. Biol. Medicine 40(2): 179-189 (2010) - [j1]Shanwen Zhang, De-Shuang Huang, Shu-Lin Wang:
A method of tumor classification based on wavelet packet transforms and neighborhood rough set. Comput. Biol. Medicine 40(4): 430-437 (2010) - [c9]Chun-Hou Zheng, Lei Zhang, To-Yee Ng, Simon Chi-Keung Shiu, Shu-Lin Wang:
Inferring the Transcriptional Modules Using Penalized Matrix Decomposition. ICIC (2) 2010: 35-41 - [c8]Xueling Li, Shu-Lin Wang:
A Comparative Study on Feature Selection in Regression for Predicting the Affinity of TAP Binding Peptides. ICIC (2) 2010: 69-75 - [c7]Zhanfang Zhao, Kunqi Liu, Xia Li, Youhua Zhang, Shu-Lin Wang:
Research on Hybrid Evolutionary Algorithms with Differential Evolution and GUO Tao Algorithm Based on Orthogonal Design. ICIC (1) 2010: 78-85 - [c6]Ying-Ke Lei, Yangming Xu, Shanwen Zhang, Shu-Lin Wang, Zhi-Guo Ding:
Fast ISOMAP Based on Minimum Set Coverage. ICIC (2) 2010: 173-179 - [c5]Shu-Lin Wang, Hong-Zhu You, Ying-Ke Lei, Xueling Li:
Performance Comparison of Tumor Classification Based on Linear and Non-linear Dimensionality Reduction Methods. ICIC (1) 2010: 291-300 - [c4]Ying-Ke Lei, Hongjun Wang, Shanwen Zhang, Shu-Lin Wang, Zhi-Guo Ding:
Orthogonal Discriminant Local Tangent Space Alignment. ICIC (1) 2010: 423-429 - [c3]Bo Li, Jin Liu, Shuxiong Wang, Wensheng Zhang, Shu-Lin Wang:
Discovery of Protein's Multifunction and Diversity of Information Transmission. ICIC (1) 2010: 619-625 - [c2]Zhu-Hong You, Liping Li, Hongjie Yu, Sanfeng Chen, Shu-Lin Wang:
Increasing Reliability of Protein Interactome by Combining Heterogeneous Data Sources with Weighted Network Topological Metrics. ICIC (1) 2010: 657-663 - [c1]Xueling Li, Mei-Ling Hou, Shu-Lin Wang:
A Residual Level Potential of Mean Force Based Approach to Predict Protein-Protein Interaction Affinity. ICIC (1) 2010: 680-686
Coauthor Index
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