Abstract: In this work we analysed the relationship of gene expression from the point of view of gene expression regulatory pathway. Using seven sets of Saccharomyces cerevisiae gene chip expression profile data, and information from two pathway database (KEGG and CYGD), we analysed the mRNA expression similarity of genes in the same gene expression regulatory pathway by Genehub software, that involved totally 16 pathways with more than 495 genes. From the calculation of two different similarity measures—Pearson correlation coefficient and Spearman correlation coefficient, we found that about 94 percent of gene expression regulatory pathways are correlatively expressed in more than 4(including 4) sets of expression profile data, and it presents additional evidence for the correlation between gene function and its expression in the view of gene expression regulatory pathways.