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miRPD specifications


Unique identifier OMICS_10688
Name miRPD
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Lars Juhl Jensen

Publication for miRPD

miRPD citations


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

Sci Rep
PMCID: 5915491
PMID: 29691434
DOI: 10.1038/s41598-018-24532-7

[…] established a complex network by integrating miRNA–target interactions, disease–gene associations and PPI. They used a random walk algorithm for prediction. Mork et al. also proposed a method called miRPD. This model integrates the protein–disease association and miRNA–protein interaction to further predict new miRNA–disease association. With this method, disease-associated miRNAs can be analysed […]


NDAMDA: Network distance analysis for MiRNA‐disease association prediction

J Cell Mol Med
PMCID: 5908143
PMID: 29532987
DOI: 10.1111/jcmm.13583

[…] developed their methods by involving other functional elements. For example, Mork et al combined miRNA‐protein and protein‐disease associations and proposed a novel model named miRNA‐protein‐disease (miRPD). This method took proteins into consideration, but finding enough miRNAs and diseases associated with the same proteins for the analysis was a difficult task. Shi et al presented a method to id […]


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

[…] se methods do not allow identification of the underlying proteins involved in miRNA-disease associations. In order to reveal the underlying proteins, Mørk et al. [] developed a protein-driven method, miRPD, to infer miRNA-disease associations by using miRNA-protein associations and protein-disease associations. Without using any known information of miRNA-disease relationships, this method measure […]


GRMDA: Graph Regression for MiRNA Disease Association Prediction

Front Physiol
PMCID: 5826195
PMID: 29515453
DOI: 10.3389/fphys.2018.00092

[…] ntial associations between the miRNAs and diseases through combining the miRNA–target interactions, disease–gene associations, and PPIs. Mork et al. () presented a miRNA-Protein-Disease Associations (miRPD) method which combined protein-disease association scores and miRNA-protein association scores to rank candidate miRNAs. Xu et al. () introduced a systematic miRNA prioritization method based on […]


GIMDA: Graphlet interaction‐based MiRNA‐disease association prediction

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

[…] rating miRNA‐target interaction, disease–gene associations and PPIs, they found out the co‐regulated modules of miRNA and disease and thus the connection between them. Mørk et al. further proposed a miRPD model that combined known and predicted miRNA–protein associations with protein–disease associations to infer miRNA–Protein‐Disease associations. The aforementioned models relied much on miRNA‐t […]


SSCMDA: spy and super cluster strategy for MiRNA disease association prediction

PMCID: 5788602
PMID: 29416734
DOI: 10.18632/oncotarget.22812

[…] and protein-protein interactions (PPIs) to acquire potential associations between the miRNAs and diseases. Mork et al. [] presented a miRNA-Protein-Disease based miRNA-disease association prediction (miRPD) method through combining the protein-disease associations with the protein-miRNA interactions based on the shared proteins between miRNAs and the diseases to provide miRNA-disease association p […]


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miRPD institution(s)
Center for non-coding RNA in Technology and Health, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark; Department of Veterinary Clinical and Animal Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark; Department of Disease Systems Biology, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark
miRPD funding source(s)
The Danish Council for Independent Research (Technology and Production Sciences), Danish Center for Scientific Computing, The Danish Council for Strategic Research (Programme Commission on Strategic Growth Technologies), The Novo Nordisk Foundation Center for Protein Research and the Danish Center for Scientific Computing

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