Fig. 2From: stochprofML: stochastic profiling using maximum likelihood estimation in RStochastic Profiling can be performed either on measurements of a homogeneous pool size of \(n\) cells or of b different pool sizes given by the cell number vector \(\vec{n}{}\). In both cases, the stochprofML algorithm estimates the parameters for the specified number of populations from pooled data, leading to inferred single-cell distributions for each population. Additional File 2 describes how this density is visualized hereBack to article page