Microarrays have become increasingly common in biological and medical research. A major goal of microarray experiments is to determine which genes are differentially expressed between samples. A new approach using the Johnson's system of distributions is proposed in this paper to make simultaneous inference concerning which genes are differentially expressed, in which no specific parametric distribution is assumed for the gene expression levels. The simulation study shows that the new approach has better results compared to many existing methods.