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The moving average span was 5.
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The average hemodynamic response was mildly temporally smoothed (moving average window spanning 3 time points).
Obviously, the span controls the performance of the moving average method.
The next span would include the second through the sixth gene expression values and the average of this span stored as the second element of the moving average.
So, the span essentially determines the number of data points contributing to the moving average calculations.
Briefly, to calculate a moving average given a series of gene expression values ordered by genomic location and a window span that consists of five data points, the first five gene expression values would be collected, the average of this set determined, and the result stored as the first element of the moving average.
Simple moving average (SMA) is a low-pass filter which replaces every point by unweighted mean of around points in a span (Johnston et al. 1999; Kirchgassner and Jurgen 2007; Mac Berthouex and Brown 1994; Wei 1994).
Traditional data smoothing approaches ranging from simple moving averages to variable span local regression are common and straightforward methods that can be used to dampen variance and extract trends and patterns from ordered data series.
Simple moving average.
Autoregressive moving average.
Trendline = moving average.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com