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Dengju Yao
ORCID
Publication Activity (10 Years)
Years Active: 2011-2024
Publications (10 Years): 8
Top Topics
Random Forest
Cancer Classification
Scheduling Strategy
Support Vector Machine
Top Venues
BMC Bioinform.
Symmetry
ISBRA (2)
Int. J. Data Min. Bioinform.
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Publications
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Dengju Yao
,
Bailin Li
,
Xiaojuan Zhan
,
Xiaorong Zhan
,
Liyang Yu
GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations.
BMC Bioinform.
25 (1) (2024)
Dengju Yao
,
Yuexiao Deng
,
Xiaojuan Zhan
,
Xiaorong Zhan
Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks.
BMC Bioinform.
25 (1) (2024)
Dengju Yao
,
Yuehu Wu
,
Xiaojuan Zhan
A Graph Transformer-Based Method for Predicting LncRNA-Disease Associations Using Matrix Factorization and Automatic Meta-Path Generation.
ISBRA (2)
(2024)
Guangyi Tang
,
Qingbao Zhang
,
Dengju Yao
,
Xiaojuan Zhan
LncRNA-Disease Association Prediction Based on Integrated Application of Matrix Decomposition and Graph Contrastive Learning.
ISBRA (1)
(2024)
Xiaojuan Zhan
,
Zhiqiang Xie
,
Dengju Yao
An Integrated Scheduling Algorithm Based on a Process End Time-Driven and Long-Time Scheduling Strategy.
Symmetry
14 (10) (2022)
Dengju Yao
,
Xiaojuan Zhan
,
Xiaorong Zhan
,
Chee Keong Kwoh
,
Peng Li
,
Jinke Wang
A random forest based computational model for predicting novel lncRNA-disease associations.
BMC Bioinform.
21 (1) (2020)
Dengju Yao
,
Xiaojuan Zhan
,
Chee-Keong Kwoh
An improved random forest-based computational model for predicting novel miRNA-disease associations.
BMC Bioinform.
20 (1) (2019)
Dengju Yao
,
Jing Yang
,
Xiaojuan Zhan
,
Xiaorong Zhan
,
Zhiqiang Xie
A novel random forests-based feature selection method for microarray expression data analysis.
Int. J. Data Min. Bioinform.
13 (1) (2015)
Jing Yang
,
Dengju Yao
,
Xiaojuan Zhan
,
Xiaorong Zhan
Predicting Disease Risks Using Feature Selection Based on Random Forest and Support Vector Machine.
ISBRA
(2014)
Dengju Yao
,
Jing Yang
,
Xiaojuan Zhan
A Novel Method for Disease Prediction: Hybrid of Random Forest and Multivariate Adaptive Regression Splines.
J. Comput.
8 (1) (2013)
Dengju Yao
,
Jing Yang
,
Xiaojuan Zhan
Predicting breast cancer survivability using random forest and multivariate adaptive regression splines.
EMEIT
(2011)