PDMDA: predicting deep-level miRNA–disease associations with graph neural networks and sequence features

MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph

(2021) Yanyi Chu et al.   BRIEFINGS IN BIOINFORMATICS

Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model

(2020) Bo-Ya Ji et al.   Scientific Reports

Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network

(2020) Minghui Liu et al.   BMC Medical Genomics

LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities

(2019) Lei Wang et al.   PLoS Computational Biology

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

(2019) Yan Zhao et al.   BIOINFORMATICS

Ensemble of decision tree reveals potential miRNA-disease associations

(2019) Xing Chen et al.   PLoS Computational Biology

Circulating MicroRNAs in Cancer: Potential and Challenge

(2019) Mengying Cui et al.   Frontiers in Genetics

Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations

(2019) Xuan et al.   Cells

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

(2019) Xing Chen et al.   BRIEFINGS IN BIOINFORMATICS

Compound-protein Interaction Prediction with End-to-end Learning of Neural Networks for Graphs and Sequences

(2018) Masashi Tsubaki et al.   BIOINFORMATICS

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

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

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

(2018) Zhou Huang et al.   NUCLEIC ACIDS RESEARCH

MicroRNA-186-5p overexpression modulates colon cancer growth by repressing the expression of the FAM134B tumour inhibitor

(2017) Farhadul Islam et al.   EXPERIMENTAL CELL RESEARCH

DNRLMF-MDA:Predicting microRNA-disease associations based on similarities of microRNAs and diseases

(2017) Cheng Yan et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A deep ensemble model to predict miRNA-disease association

(2017) Laiyi Fu et al.   Scientific Reports

OncomiRDB: a database for the experimentally verified oncogenic and tumor-suppressive microRNAs

(2014) Dongfang Wang et al.   BIOINFORMATICS

Clinical relevance of circulating cell-free microRNAs in cancer

(2014) Heidi Schwarzenbach et al.   Nature Reviews Clinical Oncology

miRCancer: a microRNA-cancer association database constructed by text mining on literature

(2013) B. Xie et al.   BIOINFORMATICS

MicroRNA-21 promotes hepatocellular carcinoma HepG2 cell proliferation through repression of mitogen-activated protein kinase-kinase 3

(2013) Guangxian Xu et al.   BMC CANCER

Targeting miR-21 for the Therapy of Pancreatic Cancer

(2013) Flavie Sicard et al.   MOLECULAR THERAPY

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

(2013) Yang Li et al.   NUCLEIC ACIDS RESEARCH

Non-coding RNAs in human disease

(2011) Manel Esteller   NATURE REVIEWS GENETICS

dbDEMC: a database of differentially expressed miRNAs in human cancers

(2010) Zhen Yang et al.   BMC GENOMICS

Circulating microRNAs in plasma of patients with gastric cancers

(2010) M Tsujiura et al.   BRITISH JOURNAL OF CANCER

MicroRNA-140 is expressed in differentiated human articular chondrocytes and modulates interleukin-1 responses

(2009) Shigeru Miyaki et al.   ARTHRITIS AND RHEUMATISM

A MicroRNA gene is hosted in an intron of a schizophrenia-susceptibility gene

(2009) Yanglong Zhu et al.   SCHIZOPHRENIA RESEARCH

Most mammalian mRNAs are conserved targets of microRNAs

(2008) R. C. Friedman et al.   GENOME RESEARCH

Oncogenes and Cancer

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

miR2Disease: a manually curated database for microRNA deregulation in human disease

(2008) Q. Jiang et al.   NUCLEIC ACIDS RESEARCH