A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder

Graph regularized L2,1-nonnegative matrix factorization for miRNA-disease association prediction

(2020) Zhen Gao et al.   BMC BIOINFORMATICS

A learning-based framework for miRNA-disease association identification using neural networks

(2019) Jiajie Peng et al.   BIOINFORMATICS

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

Convolutional Neural Network and Bidirectional Long Short-Term Memory-Based Method for Predicting Drug–Disease Associations

(2019) Xuan et al.   Cells

Prediction of Potential miRNA–Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder

(2019) Li Zhang et al.   Cells

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

(2019) Jin Li et al.   BIOINFORMATICS

NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion

(2019) Xing Chen et al.   BRIEFINGS IN BIOINFORMATICS

BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction

(2018) Xing Chen et al.   BIOINFORMATICS

Predicting miRNA–disease association based on inductive matrix completion

(2018) Xing Chen et al.   BIOINFORMATICS

MicroRNA

(2018) Thomas X. Lu et al.   JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY

SACMDA: MiRNA-Disease Association Prediction with Short Acyclic Connections in Heterogeneous Graph

(2018) Biyao Shao et al.   NEUROINFORMATICS

Predict MiRNA-Disease Association with Collaborative Filtering

(2018) Yatong Jiang et al.   NEUROINFORMATICS

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

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

(2018) Xing Chen et al.   PLoS Computational Biology

HMDD v3.0: a database for experimentally supported human microRNA–disease associations

(2018) Zhou Huang et al.   NUCLEIC ACIDS RESEARCH

miRBase: from microRNA sequences to function

(2018) Ana Kozomara et al.   NUCLEIC ACIDS RESEARCH

Meta-path methods for prioritizing candidate disease miRNAs

(2017) Xuan Zhang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

DRMDA: deep representations-based miRNA-disease association prediction

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

MCMDA: Matrix completion for MiRNA-disease association prediction

(2017) Jian-Qiang Li et al.   Oncotarget

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

dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers

(2016) Zhen Yang et al.   NUCLEIC ACIDS RESEARCH

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

MicroRNAs in cardiovascular disease: an introduction for clinicians

(2015) Simon P R Romaine et al.   HEART

RBMMMDA: predicting multiple types of disease-microRNA associations

(2015) Xing Chen et al.   Scientific Reports

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

miRBase: annotating high confidence microRNAs using deep sequencing data

(2013) Ana Kozomara et al.   NUCLEIC ACIDS RESEARCH

MicroRNAs

(2013) M. Bhaskaran et al.   VETERINARY PATHOLOGY

RWRMDA: predicting novel human microRNA–disease associations

(2012) Xing Chen et al.   Molecular BioSystems

Gaussian interaction profile kernels for predicting drug–target interaction

(2011) Twan van Laarhoven et al.   BIOINFORMATICS

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

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

MicroRNAs: Target Recognition and Regulatory Functions

(2009) David P. Bartel   CELL

Oncogenes and Cancer

(2008) Carlo M. Croce   NEW ENGLAND JOURNAL OF MEDICINE