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The projections were made using Zaitun Time Series software (http://www.zaitunsoftware.com/), which was designed for statistical analysis of time series data.
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This volume is dedicated to the world wide community of researchers who develop and apply methods of statistical analysis of time series.
All exploratory analysis of time series data was generated in the statistical software package R [ 15].
Despite the fact that there are several publications dealing with the statistical analysis of time-series expression data, there are significant computational challenges in making sense of the massive and complex datasets produced by time-series experiments.
KH carried out bioinformatics searches, phylogenetic reconstructions and the statistical analyses of time series data.
The observed decay of robust rhythm is reflected in the statistical analysis of the time series data.
Therefore, in the absence of additional confidence through similar behavior from functionally related genes, we resorted to a stricter statistical test based on significance analysis of time-series data using profiles from biological replicate cultures (see Methods and [ 37, 38]).
For genes that could not be grouped into coordinately perturbed functional classes, a further statistical assessment was performed through significance analysis of time-series data using EDGE [ 37, 38].
*q-value from significance analysis of time-series data.
In the statistical analysis of the time-series data, Autoregressive Moving Average models (ARMA) describes a stationary stochastic process based on two polynomials, one for the Auto-regression (AR) and the other for Moving Average (MA) [ 26].
Statistical analyses of time-series data on the effects of corporate diversity measures reveal several patterns.
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