Metabonomics in Toxicity Assessment 2005
DOI: 10.1201/b14117-9
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The Application of Metabonomics as an Early In Vivo Toxicity Screen

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Cited by 333 publications
(577 citation statements)
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“…A partial least-squares discriminant analysis (PLS-DA, Eriksson et al, 2001) was performed to determine whether there were any differences in chemical exposure between men and women in the offices studied. In PLS-DA, vectors are constructed orthogonally to compare data in two categories, rather than showing the largest variation regardless of category, as is done by PCA.…”
Section: Methodsmentioning
confidence: 99%
“…A partial least-squares discriminant analysis (PLS-DA, Eriksson et al, 2001) was performed to determine whether there were any differences in chemical exposure between men and women in the offices studied. In PLS-DA, vectors are constructed orthogonally to compare data in two categories, rather than showing the largest variation regardless of category, as is done by PCA.…”
Section: Methodsmentioning
confidence: 99%
“…The quantitative composition of the five different hydrocarbon fraction types was evaluated by PCA and PLS-DA by using the software program SIMCA-P 10.5 (Umetrics AB, Umeå, Sweden) Eriksson et al, 2001). PCA and PLS-DA were conducted as described in detail by Mumm et al (2004) to extract and display the systematic variation in the data set consisting of 48 different hydrocarbon peaks (Table 1) .…”
Section: Bioassay: Activity Of Hydrocarbon Fractionsmentioning
confidence: 99%
“…The ellipse shown in score plots defines the Hotelling's T 2 confidence region (95%). The number of significant principal components was determined by cross-validation Eriksson et al, 2001).…”
Section: Bioassay: Activity Of Hydrocarbon Fractionsmentioning
confidence: 99%
“…Variables with a VIP value >1.5 were considered important in discriminating between groups (31) and were selected as the most relevant to explain the differences in metabolic profile. While a VIP >1 threshold is generally accepted (32)(33)(34), the cut-off applied in this study is more restrictive, reducing the possibility of obtaining false positive results.…”
Section: Exploratory Data Analysis and Orthogonal Signal Correction Pmentioning
confidence: 99%