<p><b>A:</b> Rank aggregation analysis ordering the reference genes, based on their rank position according to each stability measurement (grey lines), from the most stable (left) to the least stable (right). Mean rank position of each gene is shown in black, as well the model computed by the Monte Carlo algorithm (red line). All EREs, except for <i>sine3</i>, are ranked better than the commonly used reference genes. <b>B:</b> Box plot representation of dispersion of the M-value. Boxes depict first and third quartile and the median is indicated with a line in the middle of the box, outliers are drawn as circles. Reference targets are ranked according to rank aggregation outcome (most stable reference targets on the left).</p
<p>Ranking of the stability of the expression of candidate reference genes by NormFinder, geNorm, an...
<p>Note. Higher Stability value (SV) indicates genes with low transcriptional stability, whereas low...
Summary: Gene prioritization refers to a family of computational techniques for inferring disease ge...
<p>Visual representation of rank aggregation using Monte Carlo algorithm with the Spearman footrule ...
<p>Rank aggregation result using the cross entropy algorithm with spearman’s foot-rule weighted dist...
<p>Each column refers to a gene stability ranking computed by one statistical tool, using all gene e...
<p>(A) Overall ranking of 22 RG using geNorm, Bestkeeper and Normfinder algorithms and calculation o...
<p>“*”: Geometric mean (GM); Stability Value (SV); Pearson's correlation coefficient ([r]); Standard...
<p>Stability ranking of 13 reference genes analyzed by five algorithms across all cell lines.</p
A) ROC curves for compound-wise rankings (gray curves) and compound-aggregated rankings (coloured cu...
The rank aggregation consensus result of the reference genes and B elements via the performance of t...
<p>Note: Data were presented as coefficient of variance (CV) ± standard deviation (SD). Reference ge...
a<p>GM refers to the Geometric mean.</p><p>Ranking of candidate reference genes in order of their ex...
<p>Note: Data were presented as expression stability value (M value) as calculated by NormFinder. Lo...
<p>18 samples were from temperature group as input.</p><p>Geometric mean (GM); Stability Value (SV);...
<p>Ranking of the stability of the expression of candidate reference genes by NormFinder, geNorm, an...
<p>Note. Higher Stability value (SV) indicates genes with low transcriptional stability, whereas low...
Summary: Gene prioritization refers to a family of computational techniques for inferring disease ge...
<p>Visual representation of rank aggregation using Monte Carlo algorithm with the Spearman footrule ...
<p>Rank aggregation result using the cross entropy algorithm with spearman’s foot-rule weighted dist...
<p>Each column refers to a gene stability ranking computed by one statistical tool, using all gene e...
<p>(A) Overall ranking of 22 RG using geNorm, Bestkeeper and Normfinder algorithms and calculation o...
<p>“*”: Geometric mean (GM); Stability Value (SV); Pearson's correlation coefficient ([r]); Standard...
<p>Stability ranking of 13 reference genes analyzed by five algorithms across all cell lines.</p
A) ROC curves for compound-wise rankings (gray curves) and compound-aggregated rankings (coloured cu...
The rank aggregation consensus result of the reference genes and B elements via the performance of t...
<p>Note: Data were presented as coefficient of variance (CV) ± standard deviation (SD). Reference ge...
a<p>GM refers to the Geometric mean.</p><p>Ranking of candidate reference genes in order of their ex...
<p>Note: Data were presented as expression stability value (M value) as calculated by NormFinder. Lo...
<p>18 samples were from temperature group as input.</p><p>Geometric mean (GM); Stability Value (SV);...
<p>Ranking of the stability of the expression of candidate reference genes by NormFinder, geNorm, an...
<p>Note. Higher Stability value (SV) indicates genes with low transcriptional stability, whereas low...
Summary: Gene prioritization refers to a family of computational techniques for inferring disease ge...