Lag Analysis of Genetic Networks in the Cell Cycle of Budding Yeast

Abstract

The recent emergence of whole-genome expression data requires a novel computational method to efficiently extract biological information from the large-scale data. The typical method for extracting information about genetic networks is cluster analysis and Fourier analysis of gene-expression patterns [2, 3, 4]. These analyses have uncovered some of the genetic networks. However, in order to comprehend all of the genetic networks in a variety of biological processes, it is necessary to develop computational methods from various viewpoints. Here we propose a computational time-series analysis to infer gene-regulatory networks from whole-genome expression data.