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Figures 7 a shows an example of the self-localization results by each method for experiment 1.
The period required by each method for composting and the quality of the product obtained were studied.
A MATLAB-Simulink model of the hybrid system has been used to simulate the performance of hybrid system designed by each method for the stand-alone application under study in this work.
Figure 9 a shows an example of the self-localization results by each method for experiment 2. Figure 9 b d shows the relation between time and self-localization errors along each axis for this experiment.
Figure 11 a shows an example of the self-localization results by each method for experiment 3. Overall, proposed method shows similar estimation result compared to the previous 2 experiments in this example.
All tissues analyzed by each method for each mouse are detailed in Table 1.
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We evaluated two formats of microarray based minisequencing by performing five parallel assays with each method for each sample in the evaluation.
These results are nevertheless useful to keep in mind for a greater overview of the types of signals detected by each method and for comparison later.
Figure 10 shows the histogram and the line of the estimated probability density function by each estimation method for each rectangular region.
Short of fine mapping or, ultimately, deep sequencing of regions implicated by each method, further evidence for the architectural implications proposed here may be sought in the extant genetic literature.
The different data sources used by each method might account for part of this observation.
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