2016: predicting miRNA-disease associations with a vector space model.

Data associated with the article:

Pasquier, C., and Gardès, J. (2016), Prediction of miRNA-disease associations with a vector space model. Scientific reports, Nature Publishing Group, 6, 27036.

Data sources

The method is based on the analysis of the following ressources:


Generated data


[1] Li, Y. et al. HMDD v2.0: A database for experimentally supported human microRNA and disease associations. Nucleic Acids Res. 42, 1070–1074 (2014).

[2] Hsu, S. D. et al. MiRTarBase: A database curates experimentally validated microRNA-target interactions. Nucleic Acids Research 39, 163–169 (2011).

[3] Griffiths-Jones, S., Grocock, R. J., van Dongen, S., Bateman, A. & Enright, A. J. miRBase: microRNA sequences, targets and gene nomenclature. Nucleic acids research 34, D140–D144 (2006).

Claude Pasquier
Claude Pasquier
Researcher in Computer Science / Computational Biology

Université côte d’Azur, CNRS, I3S Laboratory, Sophia Antipolis