miR2Disease statistics

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miR2Disease specifications


Unique identifier OMICS_02806
Name miR2Disease
Restrictions to use None
Community driven No
Data access File download, Browse
User data submission Allowed
Maintained No


  • Primates
    • Homo sapiens


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Publication for miR2Disease

miR2Disease citations


Prediction of microRNA disease associations based on distance correlation set

BMC Bioinformatics
PMCID: 5905221
PMID: 29665774
DOI: 10.1186/s12859-018-2146-x

[…] ficient, successful computational approaches that predict potential miRNA-disease associations is challenging and urgently needed.Recently, several heterogeneous biological datasets, such as HMDD and miR2Disease, have been constructed [–], and several computational methods are used to predict potential miRNA-disease associations based these datasets [–]. For example, Jiang et al. developed a scori […]


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

PMCID: 5867860
PMID: 29498680
DOI: 10.3390/genes9030139

[…] miRNAs, and numerous miRNAs have been identified. Furthermore, a great deal of databases have been established to provide information on miRNAs, such as the Human microRNA Disease Database (HMDD) [], miR2Disease [], database of Differentially Expressed miRNAs in human Cancers (dbDEMC) [] and so on. It has been demonstrated that dysregulation of miRNAs may lead to a variety of diseases [,,]. For ex […]


GIMDA: Graphlet interaction‐based MiRNA‐disease association prediction

J Cell Mol Med
PMCID: 5824414
PMID: 29272076
DOI: 10.1111/jcmm.13429

[…] the model. In case study for colon neoplasms, kidney neoplasms and prostate neoplasms, the top 50 miRNAs predicted by GIMDA using HMDD V2.0 as known associations were validated based on dbDEMC and miR2Disease . The confirmed result numbers of these three diseases are 45, 45, 41, respectively. In the case study for new diseases without any known associated miRNAs, 50 of top 50 miRNAs that were p […]


A New Network Based Strategy for Predicting the Potential miRNA mRNA Interactions in Tumorigenesis

Int J Genomics
PMCID: 5558674
PMID: 28831388
DOI: 10.1155/2017/3538568

[…] ore the interactions between the miRNAs and mRNAs, and the top 20 miRNAs ranked by their degrees in the network were verified by using three miRNA disease association databases, namely, miRCancer [], miR2Disease [], and HMDD v2.0 []. Moreover, the gene set enrichment analysis was conducted for the genes that were predicted as the targets in the network by using Database for the Annotation, Visuali […]


Improving biocuration of microRNAs in diseases: a case study in idiopathic pulmonary fibrosis

PMCID: 5467562
PMID: 28605770
DOI: 10.1093/database/bax030

[…] t contain curated information from the literature on miRNAs—miRBase (), miRecords (), miRNAmap () and TarBase ()—and some resources that incorporate gene ontology annotations or diseases—miRGator (), mir2Disease () and miRWalk (); however, in general, annotations related to respiratory diseases are poorly documented, or the information is not up to date.In this work, we implemented a semiautomatic […]


Computational prediction of human disease related microRNAs by path based random walk

PMCID: 5601672
PMID: 28938576
DOI: 10.18632/oncotarget.17226

[…] e that contains more than 300 miRNAs and 2259 miRNA-cancer associations []. dbDEMC [] is an integrated database that is designed to store and display differentially expressed miRNAs in human cancers. MiR2disease [] is a manually curated database that provides a comprehensive resource from miRNA deregulation in various human diseases. The identification of miRNAs that underlie human diseases is an […]


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miR2Disease institution(s)
Center for Biomedical Informatics, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China
miR2Disease funding source(s)
Supported by China National 863 High-Tech Program (2007AA02Z302 and 2007AA02Z329), the Indiana Genomics Initiative of Indiana University; the Lilly Endowment Inc., National Natural Science Foundation of China (Grant No.60671013).

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