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.
Hey we’re famous(ish)!
Excited to be featured in a recent story about the amazing contributions our students have been making in antidepressant research: https://stories.butler.edu/experience-that-reaches-beyond-the-classroom-and-into-publication/
And here’s the paper! https://www.nature.com/articles/s41380-025-03118-6