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The data from these series was analyzed using an event related deconvolution analysis and involved ROI prescribed in the right and left amygdala and fusiform gyri.
Data across the wild type series was analyzed using the Significance analysis of Microarrays (SAM) algorithm (to calculate the False Discovery Rate (FDR [49]) and genes with a ≤1% FDR and ≥3-fold change were considered Osmotic Regulated Genes (ORGs).
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The filtered series are analyzed using Minimum Square Error (MSE) and real life evidence.
The series were analyzed using a multiresolution analysis based on the Haar-wavelet.
VTEC and Extreme Ultra Violet (EUV) solar flux time series are analyzed using a wavelet multi resolution analysis.
Time series were analyzed using a group ICA algorithm (GIFT v1.3c; http://icatb.sourceforge.com) [20], [32] to identify spatially independent and temporally coherent networks.
Raw data from time series were analyzed using the area-under-the-curve (AUC) approach.
EPI time series were analyzed using the general linear model as implemented in SPM8.
The fMRI time series were analyzed using an event-related approach in the context of the general linear model (GLM).
The leaf series data was analyzed using repeated measurements analysis with either the hpmixed or mixed procedure from SAS.
Time-series gene expression was analyzed using Short MinerSTEMErnstpression Miner (STEM) (Ernst & Bar-Joseph, 2006) to identify gene sets that show significant temporal expression profiles.
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