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The landmark coordinates were analyzed using principal component analysis (PCA) (M Z 2004) and canonical variate analysis (CVA) to identify shape trends in the various subgroups (Bilfeld et al. 2013).
The landmark coordinates were analyzed using principal component analysis (PCA) (Miriam 2004) and canonical variate analysis (CVA) to identify shape trends in the various subgroups (Bilfeld et al. 2013).
Coordinates were analyzed in Microsoft Excel, and J-Specimen (Ebiotics) was used to generate heat maps from Excel data.
The reported coordinates were analyzed for topographic convergence using the revised ALE algorithm for coordinate-based meta-analysis of neuroimaging results (Eickhoff et al. 2009; Turkeltaub et al. 2002; Laird et al. 2009a).
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DTRF2008 and the consistently estimated terrestrial pole coordinates are analyzed and compared to IERS 08 C08.
Based on this theory, the sensitivity of the spectral transmittance of the color filters to the chromaticity coordinates is analyzed.
Trace data, containing X-Y neurite distance coordinates, was analyzed by measuring the angle of consecutive 10 μm length neurite segments using Matlab.
The transition state for each reaction was determined, and the intrinsic reaction coordinate was analyzed.
These two-dimensional (x, y) coordinate data were analyzed in MorphoJ (Klingenberg, 2011).
The smoothed marker coordinate data were analyzed using plug-in gait inverse dynamics model and results extracted using a MatLab script (version 2010b, The MathWorks Inc., Natick, MA).
Three-dimensional coordinates of the cells were analyzed statistically to determine whether those cells activated by movements of the arm and leg were segregated spatially.
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