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Since the PAMAP2 study allows us to determine the physical activity using all the dataset with a 90% of success, in this work we have investigated whether it is possible to determine the activity without the use of some data from the original dataset.
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Using all the datasets together, in particular, the number of ORFs recovered for at least 80% of their length was at least twice the one obtained using the reads of a single technology.
Finally, it is also noteworthy that the Weibull distribution, which is traditionally used in wind modelling in the Caribbean, performed poorly for both datasets using all the metrics investigated.
The performance measures have been calculated using all the cases of the dataset (740 cases).
The PER1 correlation signature geneset was identified using all the samples in the dataset (Spearman correlation based p-value < 0.01).
For instance, as shown in the top left plot of Fig. 13, we choose the BRIR of the room A to generate the training dataset and use all the BRIRs to generate the test dataset.
The initial Gaussian anomaly predictor using only content information (i.e. the data stream itself) was built using all the sensor values in the training dataset.
triM will be able to use all the marker information in such large datasets and complete the analyses rapidly.
To this end, we calculated the Spearman correlation coefficient among the array results using all datasets separately (Table S3), combining datasets with similar origin (Table S4) or combining datasets to organisms (Table S5) and then clustered the results according to Johnson (Figure 2C) [29].
In this paper, we have followed the latter approach, using all available datasets related to the agreed ecological objectives as indicators, given that sufficient knowledge was available to define reference levels.
Then, we evaluated and compared the model performance using all three datasets to check the impact of scalability.
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