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SE156:/DS2
DS Description Data describing the quantified or relative Data describing the quantified or relative amounts of metabolites were integrated into one sheet. These data were standardized by subtraction of the averages from each amount and division of the resulting values by the standard deviations. The standardized data were subjected to principal component analysis (PCA) and hierarchical clustering analysis (HCA) using DrDMass (http://kanaya.naist.jp/DrDMASS/) and PermutMatrix (http://www.lirmm.fr/~caraux/PermutMatrix/), respectively. In HCA, Euclidean distance and Ward’s minimum variance were used as a dissimilarity and a linkage rule, respectively. milarity and a linkage rule, respectively.
DS ID DS2  +
DS Title Data analysis and statistics  +
Modification dateThis property is a special property in this wiki. 24 April 2018 02:37:00  +
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