Guanghui Li

发表

GLNMDA: a novel method for miRNA-disease association prediction based on global linear neighborhoods

Jia-wei Luo, Qiu Xiao, Shengpeng Yu, 2018, RNA biology.

An in-silico method with graph-based multi-label learning for large-scale predicting circRNA-disease associations.

Jiancheng Zhong, Qiu Xiao, Jiawei Luo, 2020, Genomics.

Integrating Functional and Topological Properties to Identify Biological Network Motif in Protein Interaction Networks

Cheng Liang, Dan Song, Jiawei Luo, 2014 .

Model the evolution of protein interaction network assisted with protein age.

Cheng Liang, Dan Song, Jiawei Luo, 2013, Journal of theoretical biology.

Predicting miRNA-disease associations based on graph attention network with multi-source information

Qiu Xiao, Jiawei Luo, C. Liang, 2022, BMC Bioinformatics.

CombiMotif: A new algorithm for network motifs discovery in protein–protein interaction networks

Jiawei Luo, C. Liang, Guanghui Li, 2014 .

GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning

Qiu Xiao, Jiawei Luo, C. Liang, 2022, Comput. Biol. Chem..

MCLPMDA: A novel method for miRNA‐disease association prediction based on matrix completion and label propagation

Cheng Liang, Qiu Xiao, Sheng-Peng Yu, 2018, Journal of cellular and molecular medicine.

Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein–Protein Interaction Network

Guanghui Li, Pingjian Ding, Hua Qin, 2018, Molecules.

Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity

Cheng Liang, Jiawei Luo, Qiu Xiao, 2018, J. Biomed. Informatics.

Prediction of microRNA–disease associations with a Kronecker kernel matrix dimension reduction model

Cheng Liang, Guanghui Li, Qiu Xiao, 2018 .

Multiview Consensus Graph Learning for lncRNA–Disease Association Prediction

Cheng Liang, Qiu Xiao, Pingjian Ding, 2020, Frontiers in Genetics.

NCPCDA: network consistency projection for circRNA–disease association prediction

Cheng Liang, Jiawei Luo, Qiu Xiao, 2019, RSC advances.

Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization

Cheng Liang, Jiawei Luo, Cong Shen, 2019, J. Chem. Inf. Model..

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Cheng Liang, Huaxiang Zhang, Jiawei Luo, 2019, Molecular therapy. Nucleic acids.

Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk

Cheng Liang, Jiawei Luo, Qiu Xiao, 2017, IEEE Access.

Prediction of LncRNA-Disease Associations Based on Network Consistency Projection

Yuejin Zhang, Jiawei Luo, Qiu Xiao, 2019, IEEE Access.

Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data

Qiu Xiao, Jiawei Luo, C. Liang, 2022, Frontiers in Genetics.

Potential circRNA-disease association prediction using DeepWalk and network consistency projection

Cheng Liang, Jiawei Luo, Hailin Chen, 2020, J. Biomed. Informatics.

Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer

Cheng Liang, Qiu Xiao, Guanghui Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer

Cheng Liang, Jiawei Luo, Jie Cai, 2019, BMC Bioinformatics.

CEGSO: Boosting Essential Proteins Prediction by Integrating Protein Complex, Gene Expression, Gene Ontology, Subcellular Localization and Orthology Information

Yuanyuan Li, Hailin Chen, Wei Zhang, 2021, Interdisciplinary Sciences: Computational Life Sciences.

MTMO: an efficient network-centric algorithm for subtree counting and enumeration

Cheng Liang, Zheng Xiao, Guanghui Li, 2018, Quantitative Biology.

Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction

C. Liang, Guanghui Li, Jiawei Luo, 2024, BMC genomics.

Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions

Zuping Zhang, Wei Zhang, Hailin Chen, 2020, BMC Bioinformatics.

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Qiu Xiao, Jiawei Luo, C. Liang, 2019, Molecular therapy. Nucleic acids.