Nate Silver and Richard Feynman walk into a bar and bump into a biologist . . .
While this may sound like the setup to some late-night nerd sketch, researchers have taken this premise and applied it to an increasingly cumbersome problem in modern biology, namely, finding meaning in the rising oceans of genomic data.
In this specific instance, the data comprisesreams of cancer mutations that genome-wide studies are publishing at a dizzying rate. The challenge is finding new and efficient ways to parse the signal from the noise (and there is no shortage of noise).