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In contrast to LAMP, our method uses an improved modeling of the recombination events, and it chooses the window size adaptively at each location in the genome, according to the local genetic structure of the ancestral populations.
Moreover, as opposed to the window length computation of LAMP that depends only on the number of generations and the recombination rates, we introduce here a new procedure that chooses the window length differently at every position, by taking into account the local genetic distance between the two ancestral populations in that window.
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By choosing the window length to be within the CP and CS region, the plateau is suppressed.
Firstly, based on the SNP density, we chose the window size of 15 SNPs for genotyping, which covered on average 75 kb or 0.3 cM of rice chromosomes.
We therefore chose the window size (MA) of 4 (n = 2), 6 (n = 3) and 8 (n = 4) in this study.
After the window width h is chosen, the window number W for analyzing wind power forecasting error e i can be calculated as W = text{int} left( {e_{i} /h} right).
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To chose the window of time most appropriate to study craniofacial malformations we made reference to previous reports.
This suggests that when choosing the window size for such an analysis, one should take into consideration the expected scale of recombination based on the experimental design.
The peak window for each recording was determined by examining the subthreshold response averaged over all stimuli, and choosing the window to contain the first major peak in the average response (initial peak).
In choosing the window size for SD evaluation in an OCT image, we have tried several sizes and found that the window of 20 x 1 pixel was an optimum selection.
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