2016
DOI: 10.1016/j.bjp.2016.05.009
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Chemical characterization of two morphologically related Espeletia (Asteraceae) species and chemometric analysis based on essential oil components

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Cited by 14 publications
(11 citation statements)
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“…Percentage compositions of the essential oil components were used as input data to perform a hierarchical clustering analysis (HCAbp) with bootstrap resampling in the software R 3.4.1 (R Foundation for Statistical Computing, Vienna, Austria), using the pvclust [65] package, the ward's clustering algorithm and Euclidean distance. Prior to multivariate analyses, raw data were scaled by the arcsine method in accordance with previous reports for data expressed as percentages [66,67]. Two types of support values were plotted in the HCAbp using 10,000 replicates: traditional bootstrapping (bp) and approximately unbiased (au) p-values.…”
Section: Multivariate Analysismentioning
confidence: 99%
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“…Percentage compositions of the essential oil components were used as input data to perform a hierarchical clustering analysis (HCAbp) with bootstrap resampling in the software R 3.4.1 (R Foundation for Statistical Computing, Vienna, Austria), using the pvclust [65] package, the ward's clustering algorithm and Euclidean distance. Prior to multivariate analyses, raw data were scaled by the arcsine method in accordance with previous reports for data expressed as percentages [66,67]. Two types of support values were plotted in the HCAbp using 10,000 replicates: traditional bootstrapping (bp) and approximately unbiased (au) p-values.…”
Section: Multivariate Analysismentioning
confidence: 99%
“…A principal component analysis (PCA) was performed using the prcomp function and the factoextra package in the software R. Prior to PCA, raw data were scaled by the arcsine method in accordance with previous reports for data expressed as percentages [66,67].…”
Section: Multivariate Analysismentioning
confidence: 99%
“…Peaks detected in the last 5 min of the chromatographic run (equilibration stage) were excluded from the analyses. Considering that the subtribe Espeletiinae is especially rich in phenolic compounds [ 40 , 57 , 58 ], which also represents the main class of metabolites correlated with the biogeographic segregation of Espeletia [ 38 ], the negative ionization mode was selected for further preprocessing steps. These data were processed by MZmine 2.21 [ 59 ] to perform peak detection, peak filtering, chromatogram construction, chromatogram deconvolution, isotopic peak grouping, chromatogram alignment, gap filling, duplicate peaks filter, fragment search, and the search for adducts and peak identities using an in-house chemical structure database (see below).…”
Section: Methodsmentioning
confidence: 99%
“…Percentage compositions of the essential oil components were used as input data to perform a hierarchical clustering analysis (HCAbp) with bootstrap resampling in the software R 3.4.1 (R Foundation for Statistical Computing, Vienna, Austria), using the pvclust [ 22 ] package, the ward’s clustering algorithm and Euclidean distance. Prior to multivariate analyses, raw data were scaled by the arcsine method in accordance with previous reports for data expressed as percentages [ 23 , 24 ]. Two types of support values were plotted in the HCAbp using 10,000 replicates: traditional bootstrapping (bp) and approximately unbiased (au) p -values.…”
Section: Methodsmentioning
confidence: 99%
“…A principal component analysis (PCA) was performed using the prcomp function and the factoextra package in the software R. Prior to PCA, raw data were scaled by the arcsine method in accordance with previous reports for data expressed as percentages [ 23 , 24 ].…”
Section: Methodsmentioning
confidence: 99%