High-throughput omics technology has revolutionized biological and biomedical research and large volumes of omics data have been produced. For this, computational tools to manage and analyze the omics data have been developed and there are big challenges in how to process and interpret the omics data in the best way. Wenjiang Deng has worked to develop novel statistical methodologies and algorithms for omics data analysis, using both simulated and real cancer data to test the methods.