<p>The miRNA expression profile was reduced to three main principal components. PCA showed that most UA cases (84.6%, 11/13) could be correctly classified from the control group (CON).</p
<p>A) Principle component analysis and B) hierarchical clustering of the log<sub>2</sub> transformed...
The discovery and characterization of blood-based disease biomarkers are clinically important becaus...
<p>A scatter plot depicting principle component 1 (PC1) and PC2 coordinates of study samples, color-...
<p>PCA decomposition of the 7 selected miRNAs (miR-106b, miR-25, miR-92a, miR-21, miR-590-5p, miR-12...
<p>(A) PCA analysis of 103 miRNAs with reasonable expression levels demonstrated a clear separation ...
<p>miRNA expression patterns of 5 tARPC, 5 gARPC and 3 MSC different clones and 3 different RPTEC li...
The data were normalized across biofluid types and TBI likelihood prior to statistical analysis. The...
<p>A: Principal component analysis (PCA) plot of samples was performed using all probe sets, by usin...
<p>Principle component analysis (PCA) showing the overall expression pattern of 17 microRNAs (18 ass...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Summation of the ΔCt-values of miR-196a, -216a, -143 and -155 was performed to calculate the Σ ΔC...
<p>(A) List of significantly altered miRNAs in pregnancy-derived tissues from ectopic pregnancies (E...
<p>(<b>A</b>) Principal component (PC) analysis plots based on miRNA profiles; left panel—PC2 vs. PC...
Principal components analysis (PCA) plot of all differentially expressed RNA-seq genes comparing LPS...
<p>Two-dimensional PCA shows that global miRNA expression patterns are different in ovarian cancer c...
<p>A) Principle component analysis and B) hierarchical clustering of the log<sub>2</sub> transformed...
The discovery and characterization of blood-based disease biomarkers are clinically important becaus...
<p>A scatter plot depicting principle component 1 (PC1) and PC2 coordinates of study samples, color-...
<p>PCA decomposition of the 7 selected miRNAs (miR-106b, miR-25, miR-92a, miR-21, miR-590-5p, miR-12...
<p>(A) PCA analysis of 103 miRNAs with reasonable expression levels demonstrated a clear separation ...
<p>miRNA expression patterns of 5 tARPC, 5 gARPC and 3 MSC different clones and 3 different RPTEC li...
The data were normalized across biofluid types and TBI likelihood prior to statistical analysis. The...
<p>A: Principal component analysis (PCA) plot of samples was performed using all probe sets, by usin...
<p>Principle component analysis (PCA) showing the overall expression pattern of 17 microRNAs (18 ass...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Summation of the ΔCt-values of miR-196a, -216a, -143 and -155 was performed to calculate the Σ ΔC...
<p>(A) List of significantly altered miRNAs in pregnancy-derived tissues from ectopic pregnancies (E...
<p>(<b>A</b>) Principal component (PC) analysis plots based on miRNA profiles; left panel—PC2 vs. PC...
Principal components analysis (PCA) plot of all differentially expressed RNA-seq genes comparing LPS...
<p>Two-dimensional PCA shows that global miRNA expression patterns are different in ovarian cancer c...
<p>A) Principle component analysis and B) hierarchical clustering of the log<sub>2</sub> transformed...
The discovery and characterization of blood-based disease biomarkers are clinically important becaus...
<p>A scatter plot depicting principle component 1 (PC1) and PC2 coordinates of study samples, color-...