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PCA is a technique that summarizes a large set of variables in a smaller set that retains the essential variance of the original data set [26].
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The movie was summarized by extracting the CN and performing a technique that takes into account the use of centrality in analyzing it.
Reviews or meta-analytic techniques that summarize categorical data from primary investigations comparing highest to lowest intakes have several limitations, including a loss of data when intermediate intake categories are excluded, which may introduce reporting bias, a problem termed "publication bias in situ" [ 40].
Numerous indices are based on various techniques that summarized the result in single number: for example, the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI), US National Sanitation Foundation Water Quality Index (NSF-WQI), Oregon Water Quality Index (OWQI), and British Columbia Water Quality Index (BCWQI) [ 25– 28].
To control further for potential baseline differences in HRQOL, the baseline HRQOL measures were also subjected to principal components analysis, a data reduction technique that summarizes the variance shared by a set of variables [ 28, 29].
This is a very standard technique that could be summarized in a phrase instead of a paragraph.
With the volume of rich genotypic data rapidly increasing, Principal Components Analysis (PCA) emerged as a powerful technique that can be used to summarize and process the vast amounts of available information.
To summarize we select the irredundant common subwords that best fit each region of s1 and s2, employing a technique that we call Underlying Approach or, in short, UA.
We begin, here, with a retrospective that summarizes the analysis and elucidation of NPC architecture by electron microscopy (EM) techniques.
At the end of the period, write a reflection that summarizes the main issues that arise.
Make a chart that summarizes these policies and the impact that they have had on the scientific community.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com