Like in the simulation study, p0 was initialized by drawing randomly from a uniform distribution .

algorithm, p0 is initialized With a random draW from the uniform distribution and for 9 we use a uniform initial configuration.

The NEMix parameter p0 was initialized by drawing from a uniform distribution in each EM restart.

In the absence of further knowledge, the prior is usually set to the uniform distribution .

The estimation was performed for 100 uniformly distributed initial values (in the range of the parameter boundaries) for the parameters which enabled us to derive the parameter correlations (S4 Fig).

In Model-1, mCLB is uniformly distributed in the cell.

Parameter correlations derived from 100 fits started With uniformly distributed parameters Within the parameter boundaries (axis ranges) for Model-1 (red) and Model-2 (blue).

Distribution of parameter and objective values derived from 100 fits started With uniformly distributed parameters Within the parameter boundaries for

In our default implementation, we assumed a uniform distribution for possible dosages within any given ploidy.

We employed the same uniform distribution to simulate allele dosages.

We then assume a uniform distribution for all possible heterozygous proportions, as done by others in a notes the dosage of the first allele, with g = 1, - - -, M—l.

both possibilities are uniformly distributed .

Specificically the circular correlation coefficient can only be used for uniform distributions (i.e.

However, the more general vector formulation of the circular correlation coefficient, while not constrained to a uniform distribution , is very complex, and thus cannot be easily characterized the way we have done for the COOP.

2) was generated using a random number generator (rand) that provides a uniform distribution of at least 106 random values in MATLAB.