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Second, both in Ray et al.'s [1] and Gómez Ravetti and Moscato's [3] studies, some classifiers disagreed with the clinical diagnosis labels on the same samples of the datasets.
A randomization procedure is used to compare our approach to the results obtained for samples of the datasets using conventional structural clustering in terms of the proportion of correctly assigned cluster members.
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This is repeated for all samples of the dataset.
The samples of the dataset A were normalized, while the dataset B contains features which were normalized and temporally smoothed (see Section 4.2).
Unfortunately, this algorithm cannot cope with such a very large domain, and runs out of memory in our testbed even with reduced samples of the dataset (a single day of logs).
Secondly, we calculated the percentage fraction of samples where COX-2 expression values were higher than three times the COX-2 median value across all samples of the dataset.
It is precisely because they are slightly wider that CIM-NPCIs encompass the QTL with appropriate coverage; the bias of CIM toward preferentially locating QTL effects at markers is overcome by the interrogation of 1,000 bootstrap samples of the dataset.
We compared every pair of samples of the dataset using a statistical test.
For each of the four seed-matched site types, models were built for 1000 samples of the dataset.
For comparison with the classical multivariate analysis approach, a PCA was performed on the samples of the dataset.
The individual trees are trained on bootstrap samples of the dataset, while the final predictions of a RF model are obtained by averaging over all the trees ('voting') to guard against overfitting the data.
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