Predicting new gene-disease associations by a disease-aware evaluation of heterogeneous molecular networks

A compilation of heterogeneous networks representing 13 different knowledge categories covering different aspects of cell regulation and knowledge generation

Disease-specific evaluation of every knowledge category

Network-based algorithm using a random-walk with restart propagation model (RWWR) that

systematically evaluates and compares KCs ability to recover genes on a given list associated to the studied phenotype/disease

Disease-aware integration of evidence sources

How to run?

  1. Download executable file from GitHub and install dependencies.

2. Download heterogeneous knowledge networks

3. Prepare your list of phenotype-related genes

4. Run GLOWgenes and find your candidates!!