Extraction of related genes in the vesicular transport by simultaneous comparison of two-hybrid and microarray data

摘要

We have presented a new method to extract a set of correlated genes with respect to multiple biological features that are given as graph structures. By multiple graph comparison, this algorithm extracts sets of genes which are considered biologicallyrelated (details in). For example, when we analyze two datasets and if a set of genes makes a cluster in both datasets, the relationships among these genes are considered to be biological relevant at high probability. Using this method, we analyzed protein-protein interaction data by two-hybrid experiments and gene coexpression data by microarrays in S.cerevisiue, and searched putative gene-gene relationships which participate in the intracellular vesicular transport.