Dense Subgraphs with Restrictions and Applications to Gene Annotation Graphs

Abstract. In this paper, we focus on finding complex annotation patterns representing novel and interesting hypotheses from gene annotation data. We define a generalization of the densest subgraph problem by adding an additional distance restriction (defined by a separate metric) to the nodes of the subgraph. We show that while this generalization makes the problem NP-hard for arbitrary metrics, when the metric comes from the distance metric of a tree, or an interval graph, the problem can be solved optimally in polynomial time. We also show that the densest subgraph problem with a specified subset of vertices that have to be included in the solution can be solved optimally in polynomial time. In addition, we consider other extensions when not just one solution needs to be found, but we wish to list all subgraphs of almost maximum density as well. We apply this method to a dataset of genes and their annotations obtained from The Arabidopsis Information Resource (TAIR). A user evalu...

• Type: Conference
• Year: 2010
• Where: RECOMB
• Authors: Barna Saha, Allison Hoch, Samir Khuller, Louiqa Raschid, Xiao-Ning Zhang
• Keywords: Complex Annotation Patterns, Computational Biology, Densest Subgraph, Densest Subgraph Problem, RECOMB 2010