Shu-Lin Wang
Orcid: 0000-0003-1474-6455
According to our database1,
Shu-Lin Wang
authored at least 54 papers
between 2010 and 2023.
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Bibliography
2023
LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization.
IEEE Access, 2023
2022
Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Briefings Bioinform., 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data.
J. Comput. Biol., 2021
Neurocomputing, 2021
A Novel Approach for Predicting Microbe-Disease Associations by Structural Perturbation Method.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Exploring the potential microRNA sponge interactions of breast cancer based on some known interactions.
J. Bioinform. Comput. Biol., 2020
Exploring lncRNA-MRNA Regulatory Modules Based on lncRNA Similarity in Breast Cancer.
Proceedings of the Intelligent Computing Theories and Application, 2020
A New Maximum Weight Submatrix Solver Tool for Identifying Mutated Driver Pathways in Cancer using Python.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
2019
An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model.
J. Comput. Biol., 2019
Integrating TTF and IDT to evaluate user intention of big data analytics in mobile cloud healthcare system.
Behav. Inf. Technol., 2019
Design and Usability Evaluation of Mobile Cloud Healthcare System for Diabetes Prevention.
Proceedings of the Improving Usability, Safety and Patient Outcomes with Health Information Technology, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
A Novel Approach for Predicting LncRNA-Disease Associations by Structural Perturbation Method.
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
Prediction of Microbe-Disease Associations by Graph Regularized Non-Negative Matrix Factorization.
J. Comput. Biol., 2018
MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering.
J. Bioinform. Comput. Biol., 2018
An efficient strategy for identifying cancer-related key genes based on graph entropy.
Comput. Biol. Chem., 2018
Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data.
IEEE Access, 2018
Combining mRNA, microRNA, Protein Expression Data and Driver Genes Information for Identifying Cancer-Related MicroRNAs.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
J. Comput. Biol., 2017
Combining Gene Expression and Interactions Data with miRNA Family Information for Identifying miRNA-mRNA Regulatory Modules.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
Design and evaluation of a cloud-based Mobile Health Information Recommendation system on wireless sensor networks.
Comput. Electr. Eng., 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Predicting Progression of ALS Disease with Random Frog and Support Vector Regression Method.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
2015
Proceedings of the Driving Quality in Informatics: Fulfilling the Promise, 2015
2014
Neurocomputing, 2014
Molecular cancer classification using a meta-sample-based regularized robust coding method.
BMC Bioinform., 2014
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014
Usability Evaluation of a Cloud Computing Based Context-aware Healthcare System.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014
Requirements for Prototyping an Educational Electronic Health Record: Experiences and Future Directions.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014
2013
A novel two-stage weak classifier selection approach for adaptive boosting for cascade face detector.
Neurocomputing, 2013
Diagnostic prediction of complex diseases using phase-only correlation based on virtual sample template.
BMC Bioinform., 2013
A Simple but Robust Complex Disease Classification Method Using Virtual Sample Template.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013
2012
Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification.
BMC Bioinform., 2012
2011
Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system.
Expert Syst. Appl., 2011
Using 2D Principal Component Analysis to Reduce Dimensionality of Gene Expression Profiles for Tumor Classification.
Proceedings of the Bio-Inspired Computing and Applications, 2011
2010
A method of tumor classification based on wavelet packet transforms and neighborhood rough set.
Comput. Biol. Medicine, 2010
Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction.
Comput. Biol. Medicine, 2010
Multi-step dimensionality reduction and semi-supervised graph-based tumor classification using gene expression data.
Artif. Intell. Medicine, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010
Research on Hybrid Evolutionary Algorithms with Differential Evolution and GUO Tao Algorithm Based on Orthogonal Design.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
Increasing Reliability of Protein Interactome by Combining Heterogeneous Data Sources with Weighted Network Topological Metrics.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
Performance Comparison of Tumor Classification Based on Linear and Non-linear Dimensionality Reduction Methods.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
A Comparative Study on Feature Selection in Regression for Predicting the Affinity of TAP Binding Peptides.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
A Residual Level Potential of Mean Force Based Approach to Predict Protein-Protein Interaction Affinity.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010