Incorporating gene interaction data into the identification of hit genes in genomic experiments is a well-established approach leveraging the guilt by association assumption to obtain a network based hit list of functionally related genes. We aim to develop a method to allow for multivariate gene scores and multiple hit labels in order to extend the analysis of genomic screening data within such an approach.