Visualization for Genetic Network Reconstruction

Abstract

This chapter reviews data visualization techniques that are used to reconstruct genetic networks from genomics data. Reconstructed genetic networks are predicted interactions among genes of interest and these interactions are inferred from genomics data, e.g., microarray data or/and DNA sequence data. Genomics data are generally contaminated and high-dimensional. The dimensionality of a microarray is the number of genes in it, and it usually numbers in the thousands at least. It is important to examine and clean data carefully to attain meaningful inferences. Thus visualization tools that are used in the preprocessing of data associated with genetic network reconstruction are also reviewed.