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The continuous TGA weight loss values of the test formulations were evaluated by principal component analysis (PCA) using The Unscrambler (Camo Norway) multivariate statistical software package to examine distinguishing features of the products.
Analysis of the positive ionization mode data with the multivariate statistical software SIMCA-P+ demonstrated a good separation between the two groups at the PCA scores plot (Fig. S2).
To efficiently execute such mapping, we had developed a multivariate statistical software named Marina [ 51].
To explore magnitude of TFBS representation during SCN pathogenesis, a multivariate statistical software identified 46 over represented TFBSs which capture soybean regulatory dynamics across both reactions.
The multivariate statistical software Canoco 4.5 (Biometris-Plant Research International, waseningen) was used for principal component analysis (PCA): Both GC-MS and PTR-MS data were LOG-transformed prior to the analysis.
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Box and whisker plots were generated in excel using a template provided by Vertex42 LLC The data were subjected to multivariate statistical analysis using AMIX software version 3.9.7 (Bruker Biospin, Billerica, MA, USA).
Multivariate statistical calculations were performed using the statistical software package Stata 12.1 (StatCorp LP, College Station, TX, USA).
Multivariate statistical analyses were performed using Umetrics extended statistics software EZinfo version 2.0.0.0 (Waters, Milford, MA).
Dendrograms from Jaccard distance matrices using the group average algorithm were prepared using the MultiVariate Statistical Package (MVSP) 3.13v software (http://www.kovcomp.com/).
Detailed methods are described in Additional file 1. Multivariate statistical analysis was performed using the SIMCA-P+ software (v12.0.1; Umetrics, Umeå, Sweden) [ 19, 31– 31].
Multivariate statistical analysis was performed using SPSS (Version 11.0 Chigago Ilinois USA) statistical software; the continuous variables were analyzed by calculating the variance while the dichotomous variables were analyzed by using the Χ2 test.
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multivariate statistical data
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