<p>The significance of the error was determined by obtaining 1,000 randomized cross-validation errors with age information randomly shuffled; the significance of the prediction error is the fraction of the 1,000 randomized errors lower than the actual cross-validation error. The best <i>N</i> varies across regions.</p
Confusion matrices of average biological age prediction. A) Average age group classification results...
<p>Graphical identification of genes with statistically significant (p<0.05) Pearson r correlations ...
<p>Mean, median, minimum, and maximum gene lengths of the total predicted coding regions illustrate ...
<p>(A) Average log<sub>2</sub> FPKM values over all genes at the 12 ages. (B) Standard deviation of ...
<p>Statistical significance, corrected for 98 comparisons, taken as p < 0.0005. Nonsignificant value...
A) Sample regression analysis of the overlapping 50 aging correlated genes across humans. B) Histogr...
A) Sample regression analysis using the top 1000 human aging correlated genes to predict human age. ...
<p>Results are from 100 simulations of distinct parameter values. See details in the text.</p
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
<p>Multiple ANOVA results, giving fold changes, showing that mean expression was significantly lower...
<p>Relative expression levels standardized to “IN” category are reported, as well as corresponding s...
<p>Number of genes and correlation coefficients in each category. The average correlation coefficien...
Ratios of observed versus expected number of genes from each gene evolutionary age that contain dele...
<p>The boxplot is made from for all 1095 probes with highest variance across all samples. Positive v...
Confusion matrices of average biological age prediction. A) Average age group classification results...
<p>Graphical identification of genes with statistically significant (p<0.05) Pearson r correlations ...
<p>Mean, median, minimum, and maximum gene lengths of the total predicted coding regions illustrate ...
<p>(A) Average log<sub>2</sub> FPKM values over all genes at the 12 ages. (B) Standard deviation of ...
<p>Statistical significance, corrected for 98 comparisons, taken as p < 0.0005. Nonsignificant value...
A) Sample regression analysis of the overlapping 50 aging correlated genes across humans. B) Histogr...
A) Sample regression analysis using the top 1000 human aging correlated genes to predict human age. ...
<p>Results are from 100 simulations of distinct parameter values. See details in the text.</p
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
<p>Multiple ANOVA results, giving fold changes, showing that mean expression was significantly lower...
<p>Relative expression levels standardized to “IN” category are reported, as well as corresponding s...
<p>Number of genes and correlation coefficients in each category. The average correlation coefficien...
Ratios of observed versus expected number of genes from each gene evolutionary age that contain dele...
<p>The boxplot is made from for all 1095 probes with highest variance across all samples. Positive v...
Confusion matrices of average biological age prediction. A) Average age group classification results...
<p>Graphical identification of genes with statistically significant (p<0.05) Pearson r correlations ...
<p>Mean, median, minimum, and maximum gene lengths of the total predicted coding regions illustrate ...