Caleb Class’s lab uses visual bioinformatics techniques to better understand the occurrence and treatment of disease. Recent projects include the integration of publicly available ‘omics data sets to better understand the factors behind cancer treatment response, an R package and web application to process and analyze gene expression data, as well as a variety of collaborations.