Abstract- Gene expression profiles can be extracted from DNA in order to obtain revelant information related to kidney transplant. Successful kidney transplant from donor to patient depends on the fitness of booth kidneys, so more and more study shoukd be conducted particularly in kidney transplant classification is large amount of genes data from various samples. In the researcg, we demontrate L1 feature selection ensemble classifier based on data clustering to select informative genes in order to classify gene expression profiles. After classification on data clustering, ensemble classifier produces 97% overall accuracy with precision, recall, F-Test and kappa coefficient reaches 95.7%,91.3%,93.5%,90.3% respectively.