ABSTRACT
Today’s main challenges in biological data analysis come both from the sheer mass of data available and with its complexity. Studies generate and combine data from different sources, aiming to show different facets of the same problem; this creates complex internal dependencies that make traditional statistical analyses dif cult to apply. We need instead to capitalize on those dependencies to simplify the analyses and make them more powerful.
