Jackson Barth

Abstract Motivation: Epigenome-wide association studies (EWAS) have emerged as a popular way to investigate the pathophysiology of complex diseases and to assist in bridging the gap between genotypes and phenotypes. Despite the increasing popularity of EWAS, very few tools exist to aid researchers in power estimation and those are limited to case-control studies.

Abstract Non-informative or diffuse prior distributions are widely employed in Bayesian data analysis to maintain objectivity. However, when meaningful prior information exists and can be identified, using an informative prior distribution to accurately reflect current knowledge may lead to superior outcomes and great efficiency. We propose MetaNorm, a Bayesian algorithm for normalizing NanoString nCounter gene expression data.

Well, full disclosure, Jackson “Jack” Barth is only 3. He speaks very clearly. He writes, um, not so much. So Grandma Stephanie Klett and Papa Bill Barth will have to help fill in some details. The quotes, though, are purely Jack’s. Our columns routinely focus on fun things for adults to do. It occurred to us that lots of our visitors in the Lake Geneva region are shorter and younger and, maybe, a bit quicker to find fun. It turns out that Jack made the perfect kid-size tour guide.