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Frontiers in Microbiology|January 1, 2024
An efficient model for predicting human diseases through miRNA based on multiple-types of contrastive learningQingquan Liao, Xiangzheng Fu, Linlin Zhuo, et al.Frontiers in Microbiology|May 15, 2023
Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencodersQingquan Liao, Yuxiang Ye, Zihang Li, et al.Frontiers in Pharmacology|May 8, 2025
Deciphering metabolic disease mechanisms for natural medicine discovery via graph autoencodersQingquan Liao, Wei Zhao, Zhan Wang, et al.Bioinformatics (Oxford, England)|April 22, 2024
Revisiting drug-protein interaction prediction: a novel global-local perspectiveZhecheng Zhou, Qingquan Liao, Jinhang Wei, et al.Frontiers in Plant Science|June 20, 2025
IRGL-RRI: interpretable graph representation learning for plant RNA-RNA interaction discoveryQingquan Liao, Xuchong Liu, Wei Zhao, et al.Journal of Pharmaceutical Analysis|October 6, 2025
Multi-scale information fusion and decoupled representation learning for robust microbe-disease interaction predictionWentao Wang, Qiaoying Yan, Qingquan Liao, et al.Electrophoresis|August 30, 2018
A valve-based microfluidic device for on-chip single cell treatmentsYue Sun, Bo Cai, Xiaoyun Wei, et al.Pageof 1