Abstract: The present disclosure discusses a system and method for disease module detection. More particularly, a protein network and list of seed proteins are provided to the system. The system iteratively selects one or more candidate proteins for inclusion in the list of seed proteins. The system calculates a connectivity factor for each of the connections of the candidate proteins to proteins listed as seed proteins. Responsive to the calculated connectivity factors the system adds one or more of the candidate proteins to list of seed proteins. At the end of the iterative process the list of seed proteins can be indicative of the disease module.

Abstract: The present technology relates to methods that determine one or more subgroups of subjects within a population of subjects diagnosed with the same disease. In some embodiments, the methods include determining differential gene expression of at least one subgroup in the population using divisive Shuffling Approach (VIStA). In some embodiments, the method includes determining at least one clinical characteristic of each subgroup and/or determining a significant set of clinical characteristics of the disease order.