Technical Perspective: Strange Effects in High Dimension

In studying the genetic basis of a disease, it is now common to select a set of relevant genes G, and to measure how strongly they are expressed in cell samples from a group of patients. The size of G is frequently in the thousands, which makes the data high-dimensional by present standards.