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Fig. 2 | BMC Bioinformatics

Fig. 2

From: stochprofML: stochastic profiling using maximum likelihood estimation in R

Fig. 2

Stochastic 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 here

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