<p>1.1–1.2 shows the raw data for each drug; 1.3–1.4 shows the raw data (light grey) with the individually fitted curves (dark grey) and the mean of these curves (black); 1.5–1.10 shows the mean of the fitted curves (solid line) and how the shape of an individual curve differs from the mean curve if a multiple of the principal component curve is added to (+ +) or subtracted from (- -) the mean curve. The multiples correspond to one SD of the FPC1, FPC2 and FPC3 scores, respectively.</p
We introduce and discuss Principal Component Analysis (FPCA) of curves, using only relatively simple...
<p>For each group, segments are drawn from each sample position to the median of the group. “Expl.Va...
<p>A: Parametric curve fits applied to MDX010-20 data; B: Cumulative hazard plot for ipilimumab vs i...
<p>Plots A and B show individually smoothed curves from gestational weeks 14–16 and 30–32 (black lin...
SM FLISA standard curves and fitted data for (a) Assay #1 and (b) Assay #2 demonstrating a good agre...
<p>ROC curves of the PFAA index of PC patients compared with those of healthy controls in the traini...
<p>The final PCA score plot obtained after model 3 calibration where the two principal components ex...
PCA based on 30 clinical subscores (nine FSS and 21 BDI) for all participants. Left: The cumulative ...
<p>A: Standard curve of RFP in PBS. B: Drug release curve of RFP in PBS. C: The relationship between...
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>The red and black colored curves indicate the prediction results and actual data, respectively. T...
<p>Principal Component Analysis of Fourier coefficients: scatter plots of PC1 versus PC2 and PC2 ver...
<p>Numbers are mean values from 1000 test data sets along with 95% CIs for the mean.</p
We introduce and discuss Principal Component Analysis (FPCA) of curves, using only relatively simple...
<p>For each group, segments are drawn from each sample position to the median of the group. “Expl.Va...
<p>A: Parametric curve fits applied to MDX010-20 data; B: Cumulative hazard plot for ipilimumab vs i...
<p>Plots A and B show individually smoothed curves from gestational weeks 14–16 and 30–32 (black lin...
SM FLISA standard curves and fitted data for (a) Assay #1 and (b) Assay #2 demonstrating a good agre...
<p>ROC curves of the PFAA index of PC patients compared with those of healthy controls in the traini...
<p>The final PCA score plot obtained after model 3 calibration where the two principal components ex...
PCA based on 30 clinical subscores (nine FSS and 21 BDI) for all participants. Left: The cumulative ...
<p>A: Standard curve of RFP in PBS. B: Drug release curve of RFP in PBS. C: The relationship between...
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>The red and black colored curves indicate the prediction results and actual data, respectively. T...
<p>Principal Component Analysis of Fourier coefficients: scatter plots of PC1 versus PC2 and PC2 ver...
<p>Numbers are mean values from 1000 test data sets along with 95% CIs for the mean.</p
We introduce and discuss Principal Component Analysis (FPCA) of curves, using only relatively simple...
<p>For each group, segments are drawn from each sample position to the median of the group. “Expl.Va...
<p>A: Parametric curve fits applied to MDX010-20 data; B: Cumulative hazard plot for ipilimumab vs i...