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Cumulated data can be summarized as follows.
The enormous values of big data can be summarized as follows.
Major findings of the application of these analyses to Florida mission data can be summarized as follows: 1. Populations living in La Florida during the late prehistoric period were relatively genetically integrated (Stojanowski 2005c, 2010).
Data can be summarized as follows.
Our data can be summarized into three primary conclusions.
We assume the data can be summarized into a table of counts, with rows corresponding to genes (or tags or exons or transcripts) and columns to samples.
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So the big data fallacy can be summarized by a simple inequality: insight << information << data.
This is an appropriate tool for collecting quantitative data that can be summarized and analyzed to reach valid conclusions.
The data layout can be summarized as in Table 8. where, k = k11 + k01 + k10 + k11.
In this context, the properties of the data set can be summarized by two sets of matrices.
It is clear that the resolving power curves are linear when plotted in logarithmic scale and therefore the data quality can be summarized by the slope, steeper slopes being better.
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