Figure 5. Diagnostic plots showing the differences in estimated subcellular distributions using (A) BFA and NNLS algorithm on the three independent gradients, and (B) using BFA algorithm on the three independent and 729 simulated gradients.

The difference versus average plot (left) shows the differences (D) in dependence of the averages (A) of estimated subcellular distributions in a compartment (C, estimated as percentage) between two computational strategies (S): D_i = C_{i [S1]} – C_{i [S2]}, and A_i = 0.5 x (C_{i [S1]} + C_{i [S2]}). The corresponding computational strategies depicted in the plots are for (A) S1 = BFA and S2 = NNLS solutions, and for (B) S1 = 3 (GRD) and S2 = 729 (SIM) gradients. The histogram plot (right) shows the distribution of the M values in 1% intervals with blue solid lines indicating the 2.5% and 97.5% quantiles (95% range of observed differences). For all comparisons the average of estimated subcellular distributions (based on 3 or 729 gradients) are used.