Yong Liang

发表

Predicting Multiple Types of Associations Between miRNAs and Diseases Based on Graph Regularized Weighted Tensor Decomposition

Shengli Xie, Xiaoying Liu, Rui Miao, 2022, Frontiers in Bioengineering and Biotechnology.

Reply to ‘Trace N-glycans including sulphated species may originate from various plasma glycoproteins and not necessarily IgG’

Liang Liu, Shibo Jiang, Lee-Fong Yau, 2018, Nature Communications.

Inferring human miRNA–disease associations via multiple kernel fusion on GCNII

D. Ouyang, Yong Liang, Shan Lu, 2022, Frontiers in Genetics.

A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression

Hai-Hui Huang, Rui Miao, Yong Liang, 2022, BMC Bioinformatics.

Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies

Hai-Hui Huang, Rui Miao, Qihang Dang, 2022, Medical & Biological Engineering & Computing.

MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network

Xiao-Ying Liu, Ning Ai, Yong Liang, 2022, Comput. Biol. Medicine.

Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning

Rui Miao, Liang-Yong Xia, Hai-Hui Huang, 2019, Scientific Reports.

Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images

Yong Liang, Mingwen Shao, Shan Lu, 2022, Comput. Biol. Medicine.

A method to identify trace sulfated IgG N-glycans as biomarkers for rheumatoid arthritis

Liang Liu, Shibo Jiang, Lee-Fong Yau, 2017, Nature Communications.

Serum IgG N-glycans act as novel serum biomarkers of ankylosing spondylitis

Hu-dan Pan, Liang Liu, Hua Zhou, 2018, Annals of the Rheumatic Diseases.

A method to identify trace sulfated IgG N-glycans as biomarkers for rheumatoid arthritis

Liang Liu, Shibo Jiang, Lee-Fong Yau, 2017, Nature Communications.

Reply to ‘Trace N-glycans including sulphated species may originate from various plasma glycoproteins and not necessarily IgG’

Liang Liu, Shibo Jiang, Lee-Fong Yau, 2018, Nature Communications.

Integrating molecular interactions and gene expression to identify biomarkers and network modules of chronic obstructive pulmonary disease

Hai-Hui Huang, Yong Liang, 2022, Technology and health care : official journal of the European Society for Engineering and Medicine.

Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization

Shengli Xie, Xiaoying Liu, Rui Miao, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Integrating molecular interactions and gene expression to identify biomarkers to predict response to tumor necrosis factor inhibitor therapies in rheumatoid arthritis patients

Hai-Hui Huang, Min-Fan He, Yong Liang, 2022, Technology and health care : official journal of the European Society for Engineering and Medicine.

Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization

Xiaoying Liu, Rui Miao, Qihang Dang, 2022, Briefings Bioinform..

Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification

Shengli Xie, Xiaoying Liu, Ning Ai, 2023, Comput. Biol. Medicine.

Predicting potential microbe-disease associations based on auto-encoder and graph convolution network

Rui Miao, Yong Liang, Shan Lu, 2023, BMC bioinformatics.