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In order to quantitatively analyze the difference between samples, we employed the semiclassical Drude [34] model to estimate the mobility of samples μ = (enρ)− 1. Figure 7 Electrical properties of the graphene samples.

Since CD4 counts and information on viral load were unavailable for the early samples, we employed computational approaches to infer diversity changes and to detect positive selection acting on the env gene.

For microarray analysis of the tissue samples, we employed a common reference design (e.g., ref. [ 28]).

To validate the results of our analysis of pooled samples, we employed an MRM workflow to quantify site specific glycoforms in individual patient samples.

Analysis of two independent samples was done by Mann-Whitney's U, whereas for more samples we employed the Kruskal-Wallis test.

Therefore, in order to seek for stroma-contaminated samples, we employed a molecular profile developed by Tomlins et al. [ 23] where they applied laser capture micro-dissection (LCM) to prostate tissues (see Additional File 1 for details).

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In the 2004 sample, we employed lasso regression [27] with five-fold cross-validation [28](p.

To test the normality of the distribution of migration speed values for neutrophils in the same sample we employed the Shapiro-Wilk test, indicating if the data is likely to be derived from a normally distributed population (p>0.05).

After performing microarray experiments in a control sample, we employed RNA sequencing to profile the whole transcriptome.

The passive sampler we employed for the determination of NO2 exposure was simple, did not restrict daily activities and exhibited a good correlation with the state monitoring system.

To implement Gibbs sampling, we employed WinBUGS [ 29], which is a high-level software package providing an easy interface for implementing complex Bayesian models.

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