Assists users with key gene identification in immune diseases. Gene Ranker is an in-silico method that initially constructs a backbone network based on protein interactions. It can predict key genes even when there are few known genes. It employs the semi-supervised learning for gene scoring. This method is disease-specific and consists of three steps: (1) network construction, (2) network selection and integration, and (3) key gene scoring.