FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association

Prediction of potential disease-associated microRNAs using structural perturbation method

(2018) Xiangxiang Zeng et al.   BIOINFORMATICS

Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks

(2018) Jiawei Luo et al.   NEUROCOMPUTING

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

(2017) Ali Ezzat et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

HAMDA: Hybrid Approach for MiRNA-Disease Association prediction

(2017) Xing Chen et al.   JOURNAL OF BIOMEDICAL INFORMATICS

A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network

(2017) Jiawei Luo et al.   JOURNAL OF BIOMEDICAL INFORMATICS

GIMDA: Graphlet interaction-based MiRNA-disease association prediction

(2017) Xing Chen et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA–disease association prediction

(2017) Xing Chen et al.   Journal of Translational Medicine

NARRMDA: negative-aware and rating-based recommendation algorithm for miRNA–disease association prediction

(2017) Lihong Peng et al.   Molecular BioSystems

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

Superposition Spinal Codes with Unequal Error Protection Property

(2017) Xiaopu Yu 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

A deep ensemble model to predict miRNA-disease association

(2017) Laiyi Fu et al.   Scientific Reports

A multiple kernel learning algorithm for drug-target interaction prediction

(2016) André C. A. Nascimento et al.   BMC BIOINFORMATICS

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction

(2016) Yong Liu et al.   PLoS Computational Biology

Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations

(2016) Hongbo Shi et al.   PLoS One

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

(2016) Xing Chen et al.   Scientific Reports

Prediction of miRNA-disease associations with a vector space model

(2016) Claude Pasquier et al.   Scientific Reports

Network Consistency Projection for Human miRNA-Disease Associations Inference

(2016) Changlong Gu et al.   Scientific Reports

DISMIRA: Prioritization of disease candidates in miRNA-disease associations based on maximum weighted matching inference model and motif-based analysis

(2015) Joseph J Nalluri et al.   BMC GENOMICS

Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks

(2015) Xiangxiang Zeng et al.   BRIEFINGS IN BIOINFORMATICS

Enrichment Analysis Identifies Functional MicroRNA-Disease Associations in Humans

(2015) Dandan Yuan et al.   PLoS One

Identifying human microRNA–disease associations by a new diffusion-based method

(2015) Bo Liao et al.   Journal of Bioinformatics and Computational Biology

Kernelized Bayesian Matrix Factorization

(2014) Mehmet Gonen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2014) Xing Chen et al.   Scientific Reports

Protein-driven inference of miRNA-disease associations

(2013) S. Mork et al.   BIOINFORMATICS

Inference of dynamical gene-regulatory networks based on time-resolved multi-stimuli multi-experiment data applying NetGenerator V2.0

(2013) Michael Weber et al.   BMC Systems Biology

Predicting human microRNA-disease associations based on support vector machine

(2013) Qinghua Jiang et al.   International Journal of Data Mining and Bioinformatics

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

(2013) Yang Li et al.   NUCLEIC ACIDS RESEARCH

miRBase: annotating high confidence microRNAs using deep sequencing data

(2013) Ana Kozomara et al.   NUCLEIC ACIDS RESEARCH

Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors

(2013) Ping Xuan et al.   PLoS One

SIDD: A Semantically Integrated Database towards a Global View of Human Disease

(2013) Liang Cheng et al.   PLoS One

RWRMDA: predicting novel human microRNA–disease associations

(2012) Xing Chen et al.   Molecular BioSystems

Prioritizing candidate disease genes by network-based boosting of genome-wide association data

(2011) I. Lee et al.   GENOME RESEARCH

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

(2010) Dong Wang et al.   BIOINFORMATICS

2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research

(2010) Jack Y Yang et al.   BMC GENOMICS

Prioritization of disease microRNAs through a human phenome-microRNAome network

(2010) Qinghua Jiang et al.   BMC Systems Biology