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For example, proteins with VIP score > 1 were important variables, proteins with VIP score < 0.5 were unimportant variables.
The network models use a differential equation framework, so they can be simulated to predict the response of the observed variables (proteins, phenotypes, etc).
The obtained results are presented in this order: the classification error estimated by l 1l 2FS, a bibliographic (Medline) characterization of the relevant variables (proteins and probesets) in the signature, the results of the WebGestalt enrichment analysis performed in KEGG and GO and the analysis of the significant gene groups identified by the k-means clustering technique.
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The particle characteristics, CYP types, and incubation variables (protein concentration, nonspecific binding, incubation buffer and time) were systematically studied to find out how NPs interfere with the metabolic process of xenobiotics.
However, by using noiseless variables, protein interactions have explained more ER variation than transcriptional abundance [ 24].
This method allows the use of parametric statistics for the comparison of the new defined variables (protein abundance averages).
(B ) The model equations are executed until all model variables (protein and phenotype responses) reach to steady state.
We also applied multivariate statistics, which is ideal for 2-DGE datypicallypiconsistingisting of long and lean data with relatively few observations (samples) and many variables (protein spots).
Multivariate techniques such as Principal Component Analysis and Discriminant Analysis (DA) are ideal tools to use on databases that have multiple outcome variables (protein intensities).
Inspection of the corresponding loadings enabled for deduction of the individual variables (protein intensities) that had the greatest influence on the corresponding PC score for each individual sample.
An ordinary (least-squares) regression model was constructed to examine the relationship between the two explanatory variables, protein-bound fraction (FB) and log partition coefficient (log P) and the outcome variable, fraction of drug remaining at 24 hours (FC24).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com