 Maximal information coefficient

The Maximal Information Coefficient (MIC) is a statistical measure used to identify and quantify relationships between pairs of variables in a dataset. It was introduced by David Reshef and colleagues in the 2011 paper titled "Detecting long-range correlations in DNA sequences" and is part of a broader framework for measuring associations. MIC is designed to capture both linear and non-linear relationships, making it a versatile tool for exploring dependencies in data.