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The parameters of the controller are encoded into real value chromosomes for genetic algorithm (GA) optimization.
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With these values, chromosome-specific z-scores and corresponding p-values were estimated for the determined target and antitarget densities using R 2.4.1 [ 60].
The Welch Two Sample T-test was used to assess whether average allelic ratio values along chromosome 7p, chromosome 7q or chromosome 13 were significantly different between the recurrence groups and the control group.
In the proposed method, the dynamic programming is implemented to evaluate the fitness value of chromosomes in the genetic algorithm.
Violin plots showing distribution of GS values by chromosome and chromosome specific averages are shown in Figure 2.
Violin plots showing distribution of PIC values by chromosome and chromosome specific averages are shown in Figure 1.
The distance between these intergenic predictions with respect to their nearest genes is shown in Figure 4 and varies from a maximum median value in chromosome Y to a minimum value in chromosome 19.
Examination of the chromosome coefficients does indicate a significantly higher abundance value on chromosome number 2. This may be just a statistical anomaly or may indicate the existence of a differential SSR genesis rate in chromosome 2.
That is, the fitness value of chromosome with biggest power loss is mapped to 0, while the fitness value of chromosomes with smallest power loss is mapped to 2. The intervals of fitness value between any two adjacent chromosomes after sorted are equal.
The theoretical value of chromosome break was calculated, and validated comparison with experimental value by using premature chromosome condensation technique.
The values of chromosomes at well locations remain constant throughout the procedure.
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