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Two sets of random miRNAS were made, one using a Perl script generating random 21-nucleotide sequences [ 53], and another one by randomizing the plant miRNA sequences with the Bioedit software [ 54], doing 1000 random swap operations.
Fig. 3 Pseudo code of the Random Swap (RS) clustering.
In "Random swap clustering" section, we recall k-means and random swap algorithms and analyze their time complexities.
Fig. 16 Time-distortion comparison of random swap and repeated K-means.
Using this result, we derive the expected time complexity of the random swap algorithm.
If k-means can be implemented for the data, random swap is only a small extension.
Similar(22)
The spatial multiplexing MIMO-OFDM system with a random swapping coordinate interleaver was proposed in [36, 37].
The whole process is sufficiently repeated until no hit is found in a random swapping phase.
Bootstrap analysis was used (10,000 random swaps of tumor and control channels) to obtain gene specific p-values and confidence limits for deletion and amplification.
We use a random swapping strategy to avoid the inefficiency of systematic swapping: In each trial, a pair of nodes are randomly chosen and exchange their positions if the trial hits, i.e., the exchange lowers down the f value.
Therefore the random swapping will be stopped when either a certain number of hits (say, R = 50) are found or a large number of trials (say, S = 100n) are tested.
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