ncRNA2MetS v2.0: a manually curated database for metabolic syndrome-associated ncRNAs.
Frontiers Comput. Sci., June, 2025
GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations.
BMC Bioinform., December, 2024
Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks.
BMC Bioinform., December, 2024
A Graph Transformer-Based Method for Predicting LncRNA-Disease Associations Using Matrix Factorization and Automatic Meta-Path Generation.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
LncRNA-Disease Association Prediction Based on Integrated Application of Matrix Decomposition and Graph Contrastive Learning.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
An Integrated Scheduling Algorithm Based on a Process End Time-Driven and Long-Time Scheduling Strategy.
Symmetry, 2022
A random forest based computational model for predicting novel lncRNA-disease associations.
BMC Bioinform., 2020
An improved random forest-based computational model for predicting novel miRNA-disease associations.
BMC Bioinform., 2019
A novel random forests-based feature selection method for microarray expression data analysis.
Int. J. Data Min. Bioinform., 2015
Predicting Disease Risks Using Feature Selection Based on Random Forest and Support Vector Machine.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014
A Novel Method for Disease Prediction: Hybrid of Random Forest and Multivariate Adaptive Regression Splines.
J. Comput., 2013
Predicting breast cancer survivability using random forest and multivariate adaptive regression splines.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011