A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method

LDAI-ISPS: LncRNA–Disease Associations Inference Based on Integrated Space Projection Scores

(2020) Yi Zhang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model

(2020) Lei Zhang et al.   BMC BIOINFORMATICS

An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy

(2019) Chun-Chun Wang et al.   RNA Biology

Adaptive boosting-based computational model for predicting potential miRNA-disease associations

(2019) Yan Zhao et al.   BIOINFORMATICS

Bipartite Heterogeneous Network Method Based on Co-neighbor for MiRNA-Disease Association Prediction

(2019) Min Chen et al.   Frontiers in Genetics

Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks

(2019) Xuan et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Ensemble of decision tree reveals potential miRNA-disease associations

(2019) Xing Chen et al.   PLoS Computational Biology

Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges

(2019) Xuan et al.   MOLECULES

BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction

(2018) Xing Chen et al.   BIOINFORMATICS

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

(2018) Guanghui Li et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network

(2018) Wen Zhang et al.   METHODS

EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction

(2018) Xing Chen et al.   Cell Death & Disease

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

(2018) Guanghui Li et al.   RSC Advances

Global Similarity Method Based on a Two-tier Random Walk for the Prediction of microRNA–Disease Association

(2018) Min Chen et al.   Scientific Reports

GRMDA: Graph Regression for MiRNA-Disease Association Prediction

(2018) Xing Chen et al.   Frontiers in Physiology

A Semi-Supervised Learning Algorithm for Predicting Four Types MiRNA-Disease Associations by Mutual Information in a Heterogeneous Network

(2018) Xiaotian Zhang et al.   Genes

Predicting microRNA-disease associations using bipartite local models and hubness-aware regression

(2018) Xing Chen et al.   RNA Biology

MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction

(2018) Xing Chen et al.   PLoS Computational Biology

A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square

(2018) Yan Zhao et al.   Frontiers in Genetics

Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs

(2018) Ping Xuan et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Novel Human miRNA-Disease Association Inference Based on Random Forest

(2018) Xing Chen et al.   Molecular Therapy-Nucleic Acids

An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information

(2018) Zhu-Hong You et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction

(2017) Xing Chen et al.   Molecular BioSystems

RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction

(2017) Xing Chen et al.   RNA Biology

MCMDA: Matrix completion for MiRNA-disease association prediction

(2017) Jian-Qiang Li et al.   Oncotarget

Improved low-rank matrix recovery method for predicting miRNA-disease association

(2017) Li Peng et al.   Scientific Reports

LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction

(2017) Xing Chen et al.   PLoS Computational Biology

PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction

(2017) Zhu-Hong You et al.   PLoS Computational Biology

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

(2017) Guanghui Li et al.   IEEE Access

Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data

(2017) Jiawei Luo et al.   IEEE Access

Prediction of MicroRNA-disease Associations by Matrix Completion

(2016) Xiangxiang Zeng et al.   Current Proteomics

HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction

(2016) Xing Chen et al.   Oncotarget

Uncover miRNA-Disease Association by Exploiting Global Network Similarity

(2016) Min Chen et al.   PLoS One

WBSMDA: Within and Between Score for MiRNA-Disease Association prediction

(2016) Xing Chen et al.   Scientific Reports

Prediction of potential disease-associated microRNAs based on random walk

(2015) Ping Xuan et al.   BIOINFORMATICS

RBMMMDA: predicting multiple types of disease-microRNA associations

(2015) Xing Chen et al.   Scientific Reports

Semi-supervised learning for potential human microRNA-disease associations inference

(2014) Xing Chen et al.   Scientific Reports

Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes

(2013) Hongbo Shi et al.   BMC Systems Biology

HMDD v2.0: a database for experimentally supported human microRNA and disease associations

(2013) Yang Li et al.   NUCLEIC ACIDS RESEARCH

RWRMDA: predicting novel human microRNA–disease associations

(2012) Xing Chen et al.   Molecular BioSystems

Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA Target-Dysregulated Network: Case Study of Prostate Cancer

(2011) J. Xu et al.   MOLECULAR CANCER THERAPEUTICS

Prioritizing human cancer microRNAs based on genes’ functional consistency between microRNA and cancer

(2011) Xia Li et al.   NUCLEIC ACIDS RESEARCH

Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases

(2010) Dong Wang et al.   BIOINFORMATICS

Prioritization of disease microRNAs through a human phenome-microRNAome network

(2010) Qinghua Jiang et al.   BMC Systems Biology