Pathologene is a computational approach to prioritising candidate disease genes for further experimental study. Starting with a gene interval, Pathologene applies two methods; Disease Gene Profiling and Common Pathway Scanning which are computational versions of traditional approaches to candidate gene selection. Both methods use either know disease genes or disease intervals as starting points to identify novel disease genes.
On a test set of 29 diseases,our combined methods of disease gene prediction have a sensitivity of 0.569 and specificity of 0.956. On average, Pathologene reduces the candidate list by over 10-fold. Please click here to access benchmark results.
Back to top