K4. Gene Network Construction and Pathways Analysis for High Throughput

The key idea discussed in this paper is to infer gene regulatory network from high throughput microarray data for Hepatocellular Carcinoma (HCC). Working with such huge number of genes is a complex process. So, our framework for inferring gene interactions from large scale microarrays is based on a selected set of informative genes. We applied two measures of dependencies between genes: Correlation and mutual information. Therefore, two types of networks were constructed: Co-expression network and Mutual information network. Some Mutual information network inference algorithms: Context Likelihood of Relatedness (CLR), Algorithm for th