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
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
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
Disease-aware integration of evidence sources
How to run?
How to run?
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!!
