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Figure 4b,c,d shows the results obtained by the three algorithms.
Figures 5b,c,d and 6b,c,d show the results obtained by the three algorithms.
LR images are reconstructed by the three algorithms and bicubic technique to their original sizes.
Figure 7 shows the results obtained by the three algorithms with a 10% sample size.
Next, the transformation seven parameters are recovered by the three algorithms, and the result is listed in Table 4.
Although, at macroscopic level, the size distributions of the communities detected by the three algorithms exhibit some differences, results about community matching are very similar.
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In the two data types for the simulation, we obtain the following results by comparing the three algorithms.
Only the proteins that were predicted to be mitochondrial by all the three algorithms were included.
We also compared TACO to SpaMo and iTFs, by benchmarking the three algorithms on the set of 29 known dimers.
A total of 7 mutations were identified as lying in ESE sites by all the three algorithms.
Comparison of the autocorrelation function between samples generated by the two algorithms shows that the Wang Landau algorithm exhibits more rapid decay.
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