  Cellular heterogeneity is an immanent property of biological systems that
covers very different aspects of life ranging from genetic diversity to
cell-to-cell variability driven by stochastic molecular interactions, and noise
induced cell differentiation. Here, we review recent developments in
characterizing cellular heterogeneity by distributions and argue that
understanding multicellular life requires the analysis of heterogeneity
dynamics at single cell resolution by integrative approaches that combine
methods from non-equilibrium statistical physics, information theory and omics
biology.
