cNMTF is a data fusion framework for prioritising reliable associations between single nucleotide variants (SNVs), genes and diseases. In this webpage you will find the step-by-step process to run the algorithm on your own data using R scripts.


Install the cnmtf package directly from the github repository. This process requires the devtools package :



You can check the development version of this R package on Github.

What is inside the package?

The cnmtf package provides four categories of functions for preprocessing data, clustering, scoring SNVs and comparing results.


Leal, L.G., David, A., Jarvelin, M.-R., Sebert, S., Männikkö, M., Karhunen, V., Seaby, E., Hoggart, C., and Sternberg, M.J.E. (2019). Identification of disease-associated loci using machine learning for genotype and network data integration. Bioinformatics, btz310 (

Corresponding author:
Luis G. Leal,
Centre for Integrative Systems Biology and Bioinfomatics (CISBIO)
Department of Life Sciences
Imperial College London, London, UK, SW7 2AZ

Hands on

You must start by preparing Your input data.