4 research outputs found

    PCA analysis of normalized protein expression values.

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    <p>Principle component analysis (PCA) was performed with quantile normalized log<sub>2</sub>–transformed protein expression values from nasal washes for all 24 samples. The first two principal components are shown representing 24% and 17%, respectively, of the total variation. Healthy controls are labeled gray and IAV-positive samples (in which influenza A or B was detected by PCR) are labeled red. In addition, sample identities (e.g. ID_4043) are shown. Horizontal and vertical axis represent principle component 1 and 2, respectively.</p

    Scatter plot of RPS6KA5 expression levels and viral load.

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    <p>Scatter plot of normalized log<sub>2</sub>–transformed relative protein concentrations of RPS6KA5 which was the DEP that most strongly correlated with viral titers and log<sub>2</sub>-transformed virus titers are presented for patients from subset B. Red line: linear regression model.</p

    Functional analysis of DEPs from subset B.

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    <p>Pathway enrichment analysis for normalized log<sub>2</sub>–transformed expression values of proteins that were differentially expressed in IAV-positive versus IAV-negative patients from subset B is presented. Pathway terms that were enriched for the DEPs from subset B are indicated on the y-axis, the number of DEPs in the respective pathway category is indicated on the x-axis. The p-value for the probability that the observed distribution of expression occurred by chance is represented by colors of bars. The cut-off value for the pathway p-values was chosen at 0.05.</p

    PCA analysis of normalized protein expression values of subset A.

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    <p>Principle component analysis (PCA) was performed with normalized log<sub>2</sub>–transformed protein expression values from nasal washes for 18 samples from the subset A that was selected based viral load being higher than > 2<sup>8</sup>. The first two principal components are shown representing 42% and 16%, respectively, of the total variation. Healthy controls are labelled gray and IAV-positive samples are labelled red. In addition, sample identities (e.g., ID_4002) are shown. Horizontal and vertical axis represent principle component 1 and 2, respectively.</p
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