Gene expression was examined by quantitative real-time PCR (qPCR) in a prospective validation of NlEpi in an independent set of 31 samples, defined using the same criteria as above.
Alternatively, if a two‐compartment model fits the data better the trial may proceed, with the remaining 50% of patients having four samples collected at the optimal sampling times defined above as determined by D‐optimality.
Hence, the accuracy is measured as the number of individuals that are correctly matched to their trajectory, where an individual is represented by the set of n sampled points defined above.
We construct the daily wage for each worker by dividing the total annual wage by the number of days worked during the year, and we calculate the percentage change in daily wages for the sample of workers defined above.5, 6 We exclude the outliers of the daily wage changes distribution (1st and 99th percentile).
Furthermore, for continuous biomarkers, if the form of risk function was unstable across bootstrap sample models (as defined above), the variable was dropped.
To assess how much of the total variability in the metabolomics data was explained solely by diet group and not by participant or blood sample characteristics (as defined above), the principal component partial R method was used (24).
Drug resistance testing was performed on physician-requested samples with pVL as defined above.
We found a small number of genes (154) that displayed the rapid decrease in expression levels in experimental samples compared to controls defined above, and are thus putative direct targets of the NMD pathway (File S4).
A large number (B = 1000) of bootstrap samples (selected with replacement) were generated from the training data, and for each sample b the model defined above was fit to obtain a set of weight estimates { w ^ i (b ) } i = 1 24.
In all but one case (25/26; 96%), a near-native model of the interaction (as defined above) was sampled by our protocol, and in most cases (18/26; 69%), the near-native model was also ranked within the ten top-ranking clusters (top-ranked in 12/26; 46%).
