DaDa is a MATLAB Toolbox used for prioritizing candidate diseases genes with
respect to a disease of interest. Prioritization is made based on the
proximity of candidate genes with disease associated genes using
Protein-Protein Interaction Networks.
Network proximity calculations of the candidates with respect to
the seed set are based on Random Walk
with Restarts simulations. DaDa
provides several statistical
adjustment models to remove the bias with respect to degree of
target genes in existing algorithms based on Random Walk with Restarts
simulation. Please refer to the related papers for detailed
explanations of algorithms used.
*This work was supported in part by NSF Award CCF-0953195.
