Reconstruction of genetic networks in yeast using support based approach

A network of co-regulated genes is crucial for understanding cell physiology. Existing techniques generally depend on proximity measures based on global similarity to draw the relationship between genes. It has been observed that expression profiles are sharing local similarity rather than global similarity. In this work, pair-wise expression profiles of genes are compared, local supports are computed, and based on which gene-gene network is constructed. The genes in a network with high pattern similarity form a coherent group that can encode proteins and take part in common biological processes. We applied the proposed approach on Yeast expression data to construct Yeast gene-gene network. Biological significance of the results is evaluated based on GO annotation database and found satisfactory.