RELEVANCE NETWORKS FOR VISUALIZING CLUSTERS IN GENE EXPRESSION DATA

摘要

Described are a system and method for mining data in database to discover significant relationships among variables in the data that correspond to at least two conditions of interest. An association is established between a pair of variables based on data on a first condition. The strength of the association is calculated. A second strength of association between the same variables based on data on a second condition is also calculated. Based on both strengths, a score is generated. The score may be evaluated against a predetermined criteria. All associations with a score that satisfies the criterion are included in one or more networks that can be graphically represented.