Clustering method for the Inference of S-system models of Genetic Networks

Abstract

Many researchers have taken an interest in the inference of genetic networks from the time-series of DNA microarray data, and this has become one of major topics in bioinformatics field. In order to infer S-system models of genetic networks, we have proposed the method. However, the method is hard to analyze actual DNA microarray data containing many hundreds or thousands of genes. To overcome this problem of the proposed method, we combine our method with a clustering technique. In this study, we present the condition that the similarity measure of the clustering method must satisfy.