Abstract: In this paper we present a novel, multi-gene approach to time course microarray experiments. One of the advantages of our approach is an explicit modeling of correlation structure among gene expression data. The approach proposed is computationally attractive. We apply the model to the well-known cell-cycle yeast microarray data and present results that compare favorably to the results of the previous studies