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If that really happened, they argue, it would initially strengthen the hand of Google: only huge firms would retain big enough distribution networks, and sufficiently massive datasets, to make advertising pay at all.
Then, a series of treatments must be processed on those datasets to make them ready to be used in classical data mining tools.
In this study, we added two recently available Illumina microarray datasets to make up a new validation cohort.
To avoid redundancy, we further post-processed the promoter and downstream datasets to make sure that each genomic region is represented only once.
However, the loss of power from performing selection on only subsets of the samples is too large, given the sizes of current genomic datasets, to make this feasible.
Our findings illustrate the effectiveness of analyzing and integrating diverse datasets to make novel insights into biological processes, and our curated SEs will serve as an important resource to the scientific community.
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The parameters for each texture descriptor are optimized separately for each dataset to make as fair comparison as possible.
First, we selected a real-time GPS dataset in the Shanghai Transport Grid Project as our data source for traffic prediction and pre-process this raw dataset to make it consistent with the practical case.
In pattern detection context, the general purpose of any processing technique can be described as the analysis of a given dataset to make a certain decision based on the obtained information.
The characteristic features of the estimated afterslip on the Pacific plate in the Tohoku region are similar to the results of Ozawa et al. (2012) (Additional file 2). Figure 2d f shows position time series with the effect of the Tohoku afterslip model removed from the first detrended dataset to make the Tokai transient clear.
Then, plus and minus 10% to each variable in the train dataset to make it into two new datasets.
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CEO of Professional Science Editing for Scientists @ prosciediting.com