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In Section 3 we describe the numerical parameters that are used for configuration of the model and we explain the high robustness of the method in case of selection of non optimal values.
Even if size of window increases in case of selection of 0 (lowest intensity) or L − 1 highest intensity) as median value, window will keep increasing until the sum of weightage for non-noisy pixels exceeds the sum of weightage of noisy pixels.
In case of selection for Nanog-low cells, most of these cells are rather simultaneously shifted toward the Nanog-high state and then back again.
In case of selection, larger regions with less variation can be found on the genome [ 20] and a better prediction of the genetic diversity is possible.
In case of selection bias, a 10% random sample of all potential references will be validated by a second author for agreement.
In case of selection, transparency about the methods is important to enable a correct interpretation of the scientific and health care relevance of the results.
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In cases of selection three major outcomes have been described: evolution of a new beneficial function in one duplicate (neofunctionalization), partitioning of ancestral functions between the duplicates (subfunctionalization), or conservation of ancestral function(s) in both duplicates (gene conservation) [ 2, 5– 7].
These assumptions are easily violated in case of variable selection since the variable selection algorithm often excludes relevant variables.
The sampling was performed in random in case of patch selection and also plant part (root, stem, root) selection.
However, selection might act in different ways: In case of BLZ2 selection resulted in the accumulation of a large number of low frequency SNP alleles as 61% of the recorded SNPs have a MAF < 5%.
First, epidemic will select for individuals that are genetically the most resistant to the pathogens, i.e. the individuals having the advantageous alleles in case of directional selection or the individuals that are the most genetically diverse in case of balancing selection [41].
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