413 citations · 486 across the 4 of their papers we have counts for
4 papers
EPIHC: Improving Enhancer-Promoter Interaction Prediction by using Hybrid features and Communicative learning
Shuai Liu, Xinran Xu, Zhihao Yang +2
Enhancer-promoter interactions (EPIs) regulate the expression of specific genes in cells, and EPIs are important for understanding gene regulation, cell differentiation and disease…
Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations
Feng Huang, Xiang Yue, Zhankun Xiong +2
MicroRNAs (miRNAs) play crucial roles in multifarious biological processes associated with human diseases. Identifying potential miRNA-disease associations contributes to understan…
ItLnc-BXE: a Bagging-XGBoost-ensemble method with multiple features for identification of plant lncRNAs
Guangyan Zhang, Ziru Liu, Jichen Dai +3
Motivation: Since long non-coding RNAs (lncRNAs) have involved in a wide range of functions in cellular and developmental processes, an increasing number of methods have been propo…
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue, Zhen Wang, Jingong Huang +7
Graph embedding learning that aims to automatically learn low-dimensional node representations, has drawn increasing attention in recent years. To date, most recent graph embedding…