Orthogonal Discriminant Local Tangent Space Alignment. - Ying-Ke Lei; Hongjun Wang; Shanwen Zhang; Shu-Lin Wang; Zhi-Guo Ding 004 (ICIC (1), 2010)

Fast ISOMAP Based on Minimum Set Coverage. - Ying-Ke Lei; Yangming Xu; Shanwen Zhang; Shu-Lin Wang; Zhi-Guo Ding 004 (ICIC (2), 2010)

A Residual Level Potential of Mean Force Based Approach to Predict Protein-Protein Interaction Affinity. - Xueling Li; Mei-Ling Hou; Shu-Lin Wang (ICIC (1), 2010)

Discovery of Protein's Multifunction and Diversity of Information Transmission. - Bo Li 002; Jin Liu 016; Shuxiong Wang; Wensheng Zhang 002; Shu-Lin Wang (ICIC (1), 2010)

A Comparative Study on Feature Selection in Regression for Predicting the Affinity of TAP Binding Peptides. - Xueling Li; Shu-Lin Wang (ICIC (2), 2010)

Performance Comparison of Tumor Classification Based on Linear and Non-linear Dimensionality Reduction Methods. - Shu-Lin Wang; Hong-Zhu You; Ying-Ke Lei; Xueling Li (ICIC (1), 2010)

Increasing Reliability of Protein Interactome by Combining Heterogeneous Data Sources with Weighted Network Topological Metrics. - Zhu-Hong You; Liping Li 003; Hongjie Yu; Sanfeng Chen; Shu-Lin Wang (ICIC (1), 2010)

Research on Hybrid Evolutionary Algorithms with Differential Evolution and GUO Tao Algorithm Based on Orthogonal Design. - Zhanfang Zhao; Kunqi Liu; Xia Li; Youhua Zhang; Shu-Lin Wang (ICIC (1), 2010)

Inferring the Transcriptional Modules Using Penalized Matrix Decomposition. - Chun-Hou Zheng 001; Lei Zhang 006; To-Yee Ng; Simon Chi-Keung Shiu; Shu-Lin Wang (ICIC (2), 2010)

Multi-step dimensionality reduction and semi-supervised graph-based tumor classification using gene expression data. - Jie Gui; Shu-Lin Wang; Ying-Ke Lei (Artif. Intell. Medicine, 2010)

Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction. - Shu-Lin Wang; Xueling Li; Shanwen Zhang; Jie Gui; De-Shuang Huang (Comput. Biol. Medicine, 2010)

A method of tumor classification based on wavelet packet transforms and neighborhood rough set. - Shanwen Zhang; De-Shuang Huang; Shu-Lin Wang (Comput. Biol. Medicine, 2010)

Using 2D Principal Component Analysis to Reduce Dimensionality of Gene Expression Profiles for Tumor Classification. - Shu-Lin Wang; Min Li; Hongqiang Wang (ICIC (3), 2011)

Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system. - Shu-Lin Wang; Chun-Yi Wu (Expert Syst. Appl., 2011)

Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification. - Shu-Lin Wang; Xueling Li; Jianwen Fang (BMC Bioinform., 2012)

A Simple but Robust Complex Disease Classification Method Using Virtual Sample Template. - Shu-Lin Wang; Yaping Fang; Jianwen Fang (ICIC (3), 2013)

Diagnostic prediction of complex diseases using phase-only correlation based on virtual sample template. - Shu-Lin Wang; Yaping Fang; Jianwen Fang (BMC Bioinform., 2013)

Gray scale potential: A new feature for sparse image. - Wen-Sheng Tang; Shao-Hua Jiang; Shu-Lin Wang (Neurocomputing, 2013)

A novel two-stage weak classifier selection approach for adaptive boosting for cascade face detector. - Jia-Bao Wen; Yue-Shan Xiong; Shu-Lin Wang (Neurocomputing, 2013)

Requirements for Prototyping an Educational Electronic Health Record: Experiences and Future Directions. - André Kushniruk; Elizabeth M. Borycki; Mu-Hsing Kuo; Eric Parapini; Shu-Lin Wang; Kendall Ho (MIE, 2014)

Usability Evaluation of a Cloud Computing Based Context-aware Healthcare System. - Shu-Lin Wang; Mu-Hsing Kuo; Hung-Ming Chen; André Kushniruk; Elizabeth M. Borycki; Yi-Hsiang Hsu (MIE, 2014)

Study of Mobile Value-Added Services with Augmented Reality. - Chung-Hua Chu; Shu-Lin Wang; Bi-Chi Tseng (PAKDD Workshops, 2014)

Molecular cancer classification using a meta-sample-based regularized robust coding method. - Shu-Lin Wang; Liuchao Sun; Jianwen Fang (BMC Bioinform., 2014)

Research on virus detection technique based on ensemble neural network and SVM. - Boyun Zhang; Jianping Yin; Shu-Lin Wang; Xi-ai Yan (Neurocomputing, 2014)

A Recommendation-based Mobile Web Application for Health Information Service. - Shu-Lin Wang; Mu-Hsing Kuo; Yi-Shiang Shiu; Hsiu-Mei Huang (ITCH, 2015)

Predicting Progression of ALS Disease with Random Frog and Support Vector Regression Method. - Shu-Lin Wang; Jin Li; Jianwen Fang (ICIC (3), 2016)

Dynamically Heuristic Method for Identifying Mutated Driver Pathways in Cancer. - Shu-Lin Wang; Yiyan Tan (ICIC (1), 2016)

Design and evaluation of a cloud-based Mobile Health Information Recommendation system on wireless sensor networks. - Shu-Lin Wang; Young-Long Chen; Alex Mu-Hsing Kuo; Hung-Ming Chen; Yi-Shiang Shiu (Comput. Electr. Eng., 2016)

Research on Feature Selection and Predicting ALS Disease Progression. - Jin Li; Shu-Lin Wang; Jingjing Wang (ICIC (1), 2017)

Combining Gene Expression and Interactions Data with miRNA Family Information for Identifying miRNA-mRNA Regulatory Modules. - Dan Luo; Shu-Lin Wang; Jianwen Fang (ICIC (2), 2017)

GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif. - Chao Pei; Shu-Lin Wang; Jianwen Fang; Wei Zhang 089 (J. Comput. Biol., 2017)

Combining mRNA, microRNA, Protein Expression Data and Driver Genes Information for Identifying Cancer-Related MicroRNAs. - Jiawei Lei; Shu-Lin Wang; Jianwen Fang (ICIC (2), 2018)

Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data. - Wei Zhang 089; Shu-Lin Wang (IEEE Access, 2018)

An efficient strategy for identifying cancer-related key genes based on graph entropy. - Wei Zhang 089; Shu-Lin Wang (Comput. Biol. Chem., 2018)

MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering. - Dan Luo; Shu-Lin Wang; Jianwen Fang; Wei Zhang 089 (J. Bioinform. Comput. Biol., 2018)

Prediction of Microbe-Disease Associations by Graph Regularized Non-Negative Matrix Factorization. - Yue Liu; Shu-Lin Wang; Jun-Feng Zhang (J. Comput. Biol., 2018)

A Novel Approach for Predicting LncRNA-Disease Associations by Structural Perturbation Method. - Zhi Cao; Junfeng Zhang; Shu-Lin Wang; Yue Liu (ICIC (2), 2019)

Out-of-Stock Detection Based on Deep Learning. - Jun Chen; Shu-Lin Wang; Hong-Li Lin (ICIC (1), 2019)

A Novel Approach to Predicting MiRNA-Disease Associations. - Guo Mao; Shu-Lin Wang (ICIC (2), 2019)

Design and Usability Evaluation of Mobile Cloud Healthcare System for Diabetes Prevention. - Shu-Lin Wang; I-En Chiang; Alex Kuo; Hsin-I Lin (ITCH, 2019)

Integrating TTF and IDT to evaluate user intention of big data analytics in mobile cloud healthcare system. - Shu-Lin Wang; Hsin-I Lin (Behav. Inf. Technol., 2019)

Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model. - Guo Mao; Shu-Lin Wang; Wei Zhang 089 (J. Comput. Biol., 2019)

An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression. - Wei Zhang 089; Shu-Lin Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

A New Maximum Weight Submatrix Solver Tool for Identifying Mutated Driver Pathways in Cancer using Python. - Fouad Kharroubi; Yassine El Kati; Shu-Lin Wang; Mohammed El Jourmi; Hassan Ouahmane (CCWC, 2020)

Exploring lncRNA-MRNA Regulatory Modules Based on lncRNA Similarity in Breast Cancer. - Lei Tian; Shu-Lin Wang; Xing Zhong (ICIC (2), 2020)

Exploring the potential microRNA sponge interactions of breast cancer based on some known interactions. - Lei Tian; Shu-Lin Wang (J. Bioinform. Comput. Biol., 2020)

A Novel Approach for Predicting Microbe-Disease Associations by Structural Perturbation Method. - Yue Liu; Shu-Lin Wang (ICIC (3), 2021)

A neural collaborative filtering method for identifying miRNA-disease associations. - Yue Liu; Shu-Lin Wang; Jun-Feng Zhang; Wei Zhang 089; Wen Li 009 (Neurocomputing, 2021)

Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data. - Wei Zhang 089; Shu-Lin Wang; Yue Liu (J. Comput. Biol., 2021)

DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking. - Yue Liu; Shu-Lin Wang; Jun-Feng Zhang; Wei Zhang 089; Su Zhou; Wen Li 009 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Mobile Emotion Healthcare System Applying Sentiment analysis. - Shu-Lin Wang; I-En Chiang; Alex Kuo; Jing-Ya Lin (IEEE Big Data, 2022)

Are dropout imputation methods for scRNA-seq effective for scATAC-seq data? - Yue Liu; Junfeng Zhang; Shu-Lin Wang; Xiangxiang Zeng; Wei Zhang 089 (Briefings Bioinform., 2022)

Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network. - Wen Li 009; Shu-Lin Wang; Junlin Xu; Ju Xiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization. - Yue Liu; Shu-Lin Wang; Jun-Feng Zhang; Wei Zhang 089; Wen Li 009 (IEEE Access, 2023)

Enhancing breast cancer diagnosis using deep learning and gradient multi-verse optimizer: a robust biomedical data analysis approach. - Yassine El Kati; Shu-Lin Wang; Mundher Mohammed Taresh; Talal Ahmed Ali Ali (PeerJ Comput. Sci., 2024)