Researchers in the Institute for Brain & Neural Systems and have produced an algorithm for comparing two gene expression studies. The algorithm, built to address the complex problem of meta-analysis, is based on ranking the genes and computing the statistical likelihood of overlaps between sections of the ranked lists, and allows for the number of significant genes in the two experiments to be different (a 2-dimensional solution). It also removes the need for arbitrary thresholds in the test statistics when comparing experiments.
Researchers in the Institute for Brain & Neural Systems and Division of Biology & Medicine at Brown University have, for the first time, identified common gene and pathway changes in calorie restriction and resveratrol feeding (known lifespan-extending interventions) in both invertebrates and mammals. In a paper authored by Michael Antosh, David Fox, Stephen L.