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Fig. 5 | Algorithms for Molecular Biology

Fig. 5

From: Interpretation and approximation tools for big, dense Markov chain transition matrices in population genetics

Fig. 5

Global sensitivity analysis of original vs. approximate equilibrium \(F_{IS}\) distribution. Absolute mean \(\mu^{*}\) and standard deviation \(\sigma\) of the elementary effects of population size N (pops), mutation rate \(\mu\) (muts), rate of asexual reproduction c (asex) and sparse approximation threshold s (thres) on the density of the sparse approximate matrix, and on different statistics comparing the limiting \(F_{IS}\) distributions derived from original and sparse approximate matrix. Based on 150 Morris samples from the parameter space: population size (\(N = \{10, 20, \ldots , 100\}\)), mutation rate (\(\mu = \{10^{-12}, 10^{-11}, \ldots , 10^{-3}\}\)), rate of asexual reproduction (\(c = \{0.1, 0.2,\ldots , 1.0\}\)) and approximation threshold (\(s = \{0.8, 0.82, \ldots , 0.98\}\)). Infinity values were omitted from the test statistic. The minimal upper bound of the parameters is one

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