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For instance, for dataset S1, when the number of nodes is 10, the speedup value is 14.6584.
Objection function calling occupies more than 90% computational time of both original ABC algorithm and modified ones (for instance, for dataset 4, about 22.3 s are cost by running D-ABC algorithm for each cycle, 21.7 s for MR-ABC algorithm, and 20.5 s for original ABC algorithm. It is obviously that objection function cost most time in each cycle).
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For instance, for a dataset with the positive/negative sample ratio of 1/9, although all samples are predicted to be negative, the overall accuracy is still 90%.
Thus, there are a total of 9 TRs (=22.5/2.5) in each block, yielding 720 data instances for the dataset (12 runs (times) 8 blocks (times) 9 TRs).
For instance, the dataset GSM511084 for TF KR is significantly overlap with the dataset GSM511081 for TF HB, and motifs highly similar to the known binding sites of KR and HB were found in both the datasets.
To our knowledge this is a first GA-based paper that provides optimal solution for such large instances of dataset.
For instance, a dataset from a subject comprising of 60%% positive and 40%% negative arousal samples would have a chance level of 60%%.
Let us consider, for instance, the dataset of emails introduced in Example 1, and let us suppose that the collected emails are stored within a collection cl.
For instance, the dataset includes the distance of an establishment from some 14 predefined metropolitan areas in Germany (all German cities with at least 500.000 inhabitants), the population figures for the largest city in less than 45 minutes distance travelling by car or train, and information on the presence of an industrial agglomeration.
For instance, a dataset of a large size intuitively is not easy to handle.
For instance, our dataset included only ~11% of all A. thaliana genes, and we analyzed between 17% and 48% of the genes annotated as involved in the stress responses considered in the present study.
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