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The advantages of weighted arithmetic mean method used in this study are (Tyagi et al. 2013).
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Renal uptake was calculated according to the geometric mean method using anterior and posterior planar views and a standard with known activity.
Hierarchical clustering analysis of the resulting matrix was carried by estimating the squared Euclidean distance between the different objects (gene alignment tree parameters), followed by agglomerative clustering with UPGMA (Unweighted Pair Group Method with Arithmetic Mean) method, using R statistical software with the gplots package (Warnes et al. 2009).
Expression profiles were clustered by K-means method using Cluster 3.0 software [ 46].
Clusters were obtained by the k-means method using the gene expression profiles of the 1849 modulated genes.
Functional categories (biological process and molecular function) were clustered with the K-Means method using 1,000 iterations.
The expression profiles of the 447 common modulated genes during berry ripening were clustered in eight groups obtained by the k-means method using Pearson's correlation distance.
Cluster analysis of the gene core set was based on the k-means method using Pearson's correlation distance calculated on the gene expression profiles.
Expression profiles of the 2019 CT and 120 C highly modulated genes during berry ripening were clustered in eight groups obtained by the k-means method using Pearson's correlation distance.
Cluster analysis of the gene core set was based on the k-means method using Pearson's correlation distance calculated on the gene expression profiles obtained for EL 32, EL 35 and EL 36 in both years.
To facilitate cluster analysis of gene expression, the expression profiles of the differentially expressed genes were determined by SOM cluster analysis based on the k-means method using Pearson's correlation distance.
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