A) PCA carried out on full dataset. B) standard deviations of first 10 PCs indicate that the first PC dominates the variability of the dataset. C) The MD vs rMD plot allows to identify the most distant outliers (red points). D) PCA carried out after removal of most distant samples shows that male and female patients form two distinct clusters.</p
<p>PCA scores plot for the model building dataset (Set 1). Most non-inflammatory cases (blue) are as...
Thorough knowledge of the structure of analyzed data allows to form detailed scientific hypotheses a...
<p>A, Comparison of PCA applied to the empirical data (left) and one selected simulation (right). Th...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
Comparison among (a) Raw data, (c) Harmonized data (measurement bias subtracted data), and (d) Sampl...
Patients form a quite condensed cloud of point (we just a few exceptions). The clusters result from ...
<p>Principal Component Analysis (PCA) results on all individual samples at the level of OTUs cluster...
<p>Principal components analysis of the 4 categories of interest show distinct clusters that corresp...
Thorough knowledge of the structure of analyzed data allows to form detailed scientific hypotheses a...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>The FSGS group was separated from the MCD group. Moreover, FSGS patients were far from MCD patien...
<p>A) Assignment of analyte clusters to biological functions; B) Sex differences as determined by me...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
The percentage of cells from each drug treatment falling into each of the 9 identified clusters was ...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>PCA scores plot for the model building dataset (Set 1). Most non-inflammatory cases (blue) are as...
Thorough knowledge of the structure of analyzed data allows to form detailed scientific hypotheses a...
<p>A, Comparison of PCA applied to the empirical data (left) and one selected simulation (right). Th...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
Comparison among (a) Raw data, (c) Harmonized data (measurement bias subtracted data), and (d) Sampl...
Patients form a quite condensed cloud of point (we just a few exceptions). The clusters result from ...
<p>Principal Component Analysis (PCA) results on all individual samples at the level of OTUs cluster...
<p>Principal components analysis of the 4 categories of interest show distinct clusters that corresp...
Thorough knowledge of the structure of analyzed data allows to form detailed scientific hypotheses a...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>The FSGS group was separated from the MCD group. Moreover, FSGS patients were far from MCD patien...
<p>A) Assignment of analyte clusters to biological functions; B) Sex differences as determined by me...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
The percentage of cells from each drug treatment falling into each of the 9 identified clusters was ...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>PCA scores plot for the model building dataset (Set 1). Most non-inflammatory cases (blue) are as...
Thorough knowledge of the structure of analyzed data allows to form detailed scientific hypotheses a...
<p>A, Comparison of PCA applied to the empirical data (left) and one selected simulation (right). Th...