ncPred is an algorithm for the inference of ncRNA-disease association based on recommendation technique. We represent our knowledge through a tripartite network, whose nodes are ncRNAs, targets, or diseases. Interactions in such a network associate each ncRNA with a disease through its targets. Our algorithm, starting from such a network, computes weights between each ncRNA-disease pair using a multi-level resource transfer technique that at each step takes into account the resource transferred in the previous one.

Our algorithm is available for download, along with test data, by clicking on "Download".

ncRNA-disease association Prediction Tool


 

* You can upload either a text file or a matrix in RDS format (single R object).

Downloads

From this page you can download our datasets and algorithm.

Datasets

Chen et al. (2013)

ncRNA-Targets Matrix

Download

Targets-Disease Matrix

Download

Helwak et al. (2013)

ncRNA-Targets Matrix

Download

Targets-Disease Matrix

Download

Web Application

You can download this web application here.

Help

Why?

Definitions

Usage

References

If you are using this service in your own work, please cite:

  • Alaimo S, Giugno R and Pulvirenti A (2014) ncPred: ncRNA-disease association prediction through tripartite network-based inference. Front. Bioeng. Biotechnol. 2:71. doi: 10.3389/fbioe.2014.00071

Contacts

For bugs reporting, please send an email to: alaimos@dmi.unict.it

Authors

S. Alaimo
Dept. of Mathematics and Computer Science
University of Catania
alaimos@dmi.unict.it
R. Giugno
Dept. of Clinical and Molecular Biomedicine
University of Catania
giugno@dmi.unict.it
A. Pulvirenti
Dept. of Clinical and Molecular Biomedicine
University of Catania
apulvirenti@dmi.unict.it