Predicting breast cancer survivability using random forest and multivariate adaptive regression splines. - Dengju Yao; Jing Yang 010; Xiaojuan Zhan (EMEIT, 2011)

A Novel Method for Disease Prediction: Hybrid of Random Forest and Multivariate Adaptive Regression Splines. - Dengju Yao; Jing Yang 010; Xiaojuan Zhan (J. Comput., 2013)

Predicting Disease Risks Using Feature Selection Based on Random Forest and Support Vector Machine. - Jing Yang 010; Dengju Yao; Xiaojuan Zhan; Xiaorong Zhan (ISBRA, 2014)

A novel random forests-based feature selection method for microarray expression data analysis. - Dengju Yao; Jing Yang 010; Xiaojuan Zhan; Xiaorong Zhan; Zhiqiang Xie (Int. J. Data Min. Bioinform., 2015)

An improved random forest-based computational model for predicting novel miRNA-disease associations. - Dengju Yao; Xiaojuan Zhan; Chee-Keong Kwoh 001 (BMC Bioinform., 2019)

A random forest based computational model for predicting novel lncRNA-disease associations. - Dengju Yao; Xiaojuan Zhan; Xiaorong Zhan; Chee Keong Kwoh 001; Peng Li; Jinke Wang (BMC Bioinform., 2020)

An Integrated Scheduling Algorithm Based on a Process End Time-Driven and Long-Time Scheduling Strategy. - Xiaojuan Zhan; Zhiqiang Xie; Dengju Yao (Symmetry, 2022)

LncRNA-Disease Association Prediction Based on Integrated Application of Matrix Decomposition and Graph Contrastive Learning. - Guangyi Tang; Qingbao Zhang; Dengju Yao; Xiaojuan Zhan (ISBRA (1), 2024)

A Graph Transformer-Based Method for Predicting LncRNA-Disease Associations Using Matrix Factorization and Automatic Meta-Path Generation. - Dengju Yao; Yuehu Wu; Xiaojuan Zhan (ISBRA (2), 2024)

Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks. - Dengju Yao; Yuexiao Deng; Xiaojuan Zhan; Xiaorong Zhan (BMC Bioinform., 2024)

GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations. - Dengju Yao; Bailin Li; Xiaojuan Zhan; Xiaorong Zhan; Liyang Yu (BMC Bioinform., 2024)

ncRNA2MetS v2.0: a manually curated database for metabolic syndrome-associated ncRNAs. - Dengju Yao; Zhanhe Li; Xiaojuan Zhan; Zibin Zhou; Hao Liang (Frontiers Comput. Sci., 2025)