Shu-Lin Wang

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 29

Top Topics

Matrix Factorization

Perturbation Method

Top Venues

J. Comput. Biol.

Publications

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 (2023)
Shu-Lin Wang, I-En Chiang, Alex Kuo, Jing-Ya Lin
Mobile Emotion Healthcare System Applying Sentiment analysis. Big Data (2022)
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)
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) (2022)
Yue Liu, Shu-Lin Wang
A Novel Approach for Predicting Microbe-Disease Associations by Structural Perturbation Method. ICIC (3) (2021)
Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li
A neural collaborative filtering method for identifying miRNA-disease associations. Neurocomputing 422 (2021)
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) (2021)
Wei Zhang, Shu-Lin Wang, Yue Liu
Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data. J. Comput. Biol. 28 (10) (2021)
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) (2020)
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)
Lei Tian, Shu-Lin Wang, Xing Zhong
Exploring lncRNA-MRNA Regulatory Modules Based on lncRNA Similarity in Breast Cancer. ICIC (2) (2020)
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) (2019)
Jun Chen, Shu-Lin Wang, Hong-Li Lin
Out-of-Stock Detection Based on Deep Learning. ICIC (1) (2019)
Guo Mao, Shu-Lin Wang
A Novel Approach to Predicting MiRNA-Disease Associations. ICIC (2) (2019)
Wei Zhang, Shu-Lin Wang
An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
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)
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) (2019)
Zhi Cao, Junfeng Zhang, Shu-Lin Wang, Yue Liu
A Novel Approach for Predicting LncRNA-Disease Associations by Structural Perturbation Method. ICIC (2) (2019)
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)
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) (2018)
Wei Zhang, Shu-Lin Wang
An efficient strategy for identifying cancer-related key genes based on graph entropy. Comput. Biol. Chem. 74 (2018)
Wei Zhang, Shu-Lin Wang
Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data. IEEE Access 6 (2018)
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) (2018)
Jin Li, Shu-Lin Wang, Jingjing Wang
Research on Feature Selection and Predicting ALS Disease Progression. ICIC (1) (2017)
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) (2017)
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)
Shu-Lin Wang, Jin Li, Jianwen Fang
Predicting Progression of ALS Disease with Random Frog and Support Vector Regression Method. ICIC (3) (2016)
Shu-Lin Wang, Yiyan Tan
Dynamically Heuristic Method for Identifying Mutated Driver Pathways in Cancer. ICIC (1) (2016)
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 (2016)
Shu-Lin Wang, Mu-Hsing Kuo, Yi-Shiang Shiu, Hsiu-Mei Huang
A Recommendation-based Mobile Web Application for Health Information Service. ITCH (2015)
Boyun Zhang, Jianping Yin, Shu-Lin Wang, Xiai Yan
Research on virus detection technique based on ensemble neural network and SVM. Neurocomputing 137 (2014)
Chung-Hua Chu, Shu-Lin Wang, Bi-Chi Tseng
Study of Mobile Value-Added Services with Augmented Reality. PAKDD Workshops (2014)
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)
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)
Shu-Lin Wang, Liuchao Sun, Jianwen Fang
Molecular cancer classification using a meta-sample-based regularized robust coding method. BMC Bioinform. 15 (S-15) (2014)
Shu-Lin Wang, Yaping Fang, Jianwen Fang
A Simple but Robust Complex Disease Classification Method Using Virtual Sample Template. ICIC (3) (2013)
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 (2013)
Wen-sheng Tang, Shao-Hua Jiang, Shu-Lin Wang
Gray scale potential: A new feature for sparse image. Neurocomputing 116 (2013)
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) (2013)
Shu-Lin Wang, Xueling Li, Jianwen Fang
Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification. BMC Bioinform. 13 (2012)
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)
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) (2011)
Bo Li, Jin Liu, Shuxiong Wang, Wensheng Zhang, Shu-Lin Wang
Discovery of Protein's Multifunction and Diversity of Information Transmission. ICIC (1) (2010)
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)
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)
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)
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) (2010)
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)
Xueling Li, Shu-Lin Wang
A Comparative Study on Feature Selection in Regression for Predicting the Affinity of TAP Binding Peptides. ICIC (2) (2010)
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) (2010)
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) (2010)
Ying-Ke Lei, Yangming Xu, Shanwen Zhang, Shu-Lin Wang, Zhi-Guo Ding
Fast ISOMAP Based on Minimum Set Coverage. ICIC (2) (2010)
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)
Ying-Ke Lei, Hongjun Wang, Shanwen Zhang, Shu-Lin Wang, Zhi-Guo Ding
Orthogonal Discriminant Local Tangent Space Alignment. ICIC (1) (2010)