Kent Bradford is offering a new way of looking at biological data that, he says, “radically alters what we can see.”
Traditionally, scientists see things in terms of averages to understand the behavior of plants, cells, molecules – all kinds of things. But now, the UC Davis distinguished professor emeritus argues, new technologies allow us to see data points as individuals and take a closer look at the statistical outliers. Usually dismissed as “noise” and “error,” they in fact offer a goldmine of new insights about how things respond to a stimulus.
