<p>(A) Two-dimensional PCA of miRs, derived from 20 patients with NSCLC and 10 tissue samples from normal lung tissue, showing separation of the two sample groups. (B) The plot depicts components 1 and 2 of PLS model which used survival time as a scoring criteria. The analysis clearly separates the tissue sample groups for short and long survival NSCLC patients. All samples are colour coded according to group: Black: Normal patient samples; green: Samples from patients with short survival; red: Samples from patients with long survival.</p
Duplicate biological samples of matched normal and cancerous colon tissue from five anonymized patie...
<p>The figure shows paired microdialysate and plasma derived cytokine data from 12 patients. Princip...
<p>Panel. A) Demonstrates separation along principal components 1 (x-axis) and component 2 (y-axis) ...
<p>(A) PCA plot showing the parameters that most strongly separate PSC-patients (n = 17) from contro...
<p><b>Note:</b></p>a<p>The log-rank <i>p</i> value was derived from the Kaplan–Meier method using th...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p
<p>(<b>A</b>) PCA analysis of the top-50 ranking (lowest P-values in t-test) miRNAs of the panel scr...
<p>A: PC1 and PC2 score plot of the first two principal components describing 13.6% (PC1) and 10.6% ...
<p>Note:</p>a<p>The log-rank <i>p</i> value was derived from the Kaplan-Meier method using the log-r...
<p>Principal component analysis of the micro-array data sets for paired blood (red circles) and pulm...
<p>The figure shows cerebral microdialysis derived cytokine data from 12 patients (A–L) pooled into ...
<p>PC1 and PC2 represent the two principal component analysis used to group individuals according wi...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
Some early stage NSCLC patients have a better survival prospects than others. In any event, the long...
Duplicate biological samples of matched normal and cancerous colon tissue from five anonymized patie...
<p>The figure shows paired microdialysate and plasma derived cytokine data from 12 patients. Princip...
<p>Panel. A) Demonstrates separation along principal components 1 (x-axis) and component 2 (y-axis) ...
<p>(A) PCA plot showing the parameters that most strongly separate PSC-patients (n = 17) from contro...
<p><b>Note:</b></p>a<p>The log-rank <i>p</i> value was derived from the Kaplan–Meier method using th...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p
<p>(<b>A</b>) PCA analysis of the top-50 ranking (lowest P-values in t-test) miRNAs of the panel scr...
<p>A: PC1 and PC2 score plot of the first two principal components describing 13.6% (PC1) and 10.6% ...
<p>Note:</p>a<p>The log-rank <i>p</i> value was derived from the Kaplan-Meier method using the log-r...
<p>Principal component analysis of the micro-array data sets for paired blood (red circles) and pulm...
<p>The figure shows cerebral microdialysis derived cytokine data from 12 patients (A–L) pooled into ...
<p>PC1 and PC2 represent the two principal component analysis used to group individuals according wi...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
Some early stage NSCLC patients have a better survival prospects than others. In any event, the long...
Duplicate biological samples of matched normal and cancerous colon tissue from five anonymized patie...
<p>The figure shows paired microdialysate and plasma derived cytokine data from 12 patients. Princip...
<p>Panel. A) Demonstrates separation along principal components 1 (x-axis) and component 2 (y-axis) ...