Classification performance on a population with contexts

Several classification studies have been conducted to relate molecular expression to disease progression, outcome and vulnerability. These studies have failed except in simple situations. A reason for this has been that classification schemes have in general ignored the heterogeneity of underlying cellular contexts. In this work we conduct a model based study to demonstrate and quantify how existence of contexts degrades classification performance.