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A time-series significant analysis was performed using the Extraction of Differential Gene Expression (EDGE) software package.
Time-series significant analysis was applied for Arabidopsis leaf transcriptome data to obtain a set of genes that are highly regulated under a diurnal cycle.
Open image in new window Fig. 7 Irregular offshore wave records at Roches Noires for the month of April which has been averaged over 3 years (2012 2014): a time series of significant wave height; b wave rose representing the significant wave height approaching in an ESE direction under the influence of trade winds.
Hence, time series of significant wave height have been extensively studied in recent years.
But some PAL NDVI time series remain significant residual effects and noise levels.
The main time series of significant wave height data were decomposed to multiresolution time series using discrete wavelet transformations.
The clustering results from qPCR time series unveils significant temporal events and highlights genes potentially involved in N. vectensis gastrulation.
Střeštík (1998), studying the Ap time series, found significant peaks at ~27 and 13.6 days that he associated with solar rotation and the structure of solar wind.
This software can identify whether peaks in the spectrum of time series are significant against the red-noise (autoregressive lag1) background spectrum.
In this paper, long time series of significant wave height stemming from the ERA-40 reanalysis project containing six-hourly data over a period of more than 44 years are investigated with the purpose of identifying long term trends.
Open image in new window Fig. 6 A Analysis of irregular offshore wave data at Flic-en-Flac for the month of April: a time series of significant wave height; b spectral time series of surface waves recorded; c zoomed images of energetic wave events occurring during the 18 days period at Flic-en-Flac.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com