<p>(A) Over expression formula applied to simulated under expressed gene, <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = −2, <i>k</i> = 8. (B) Under expression formula applied to simulated over expressed gene, <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 8. The x-axis is FPR, and the y-axis is TPR. ▽ is T, × is COPA, ○ is OS, • is ORT, ◊ is MOST, dotted line is LRS, dashed line is ...
<p>In (A) <i>AKY</i> and (B) <i>BBJ</i>, case samples with PSA 1–10 ng/ml and all the control sample...
<p>Areas below the ROC curves for different proportions of altered genes (<i>γ</i>), varying from 0....
<p>ROC curves derived from the univariate logistic analysis corresponding to total cfDNA (AUC = 0.85...
<p>(a) first ROC: Class 1 – four-fold NP differentially over-expressed genes compared to ES; Class 0...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>ROC curves for BRCA (a) and GBM (b) for single scoring methods: mutation frequency, differential ...
<p>Solid line (<sup>____</sup>) represents ROC curve for simulation model based on 6 genotyped SNPs ...
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>Illustrated are the ROC curves and AUC values (inset) in analyzing the impact of biological repli...
<p>ROC curve analysis for evaluating the effectiveness of the selected experiments at improving the ...
In this case, we obtain the sensitivity = 80 % (80/100), specificity = 90 % (90/100), PPV = 88.9 % (...
<p>ROC curves of NT1, NT2, and NT3 networks are plotted along with their corresponding <i>β</i>, <i>...
<p>In (A) <i>AKY</i> and (B) <i>BBJ</i>, case samples with PSA 1–10 ng/ml and all the control sample...
<p>Areas below the ROC curves for different proportions of altered genes (<i>γ</i>), varying from 0....
<p>ROC curves derived from the univariate logistic analysis corresponding to total cfDNA (AUC = 0.85...
<p>(a) first ROC: Class 1 – four-fold NP differentially over-expressed genes compared to ES; Class 0...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>ROC curves for BRCA (a) and GBM (b) for single scoring methods: mutation frequency, differential ...
<p>Solid line (<sup>____</sup>) represents ROC curve for simulation model based on 6 genotyped SNPs ...
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>Illustrated are the ROC curves and AUC values (inset) in analyzing the impact of biological repli...
<p>ROC curve analysis for evaluating the effectiveness of the selected experiments at improving the ...
In this case, we obtain the sensitivity = 80 % (80/100), specificity = 90 % (90/100), PPV = 88.9 % (...
<p>ROC curves of NT1, NT2, and NT3 networks are plotted along with their corresponding <i>β</i>, <i>...
<p>In (A) <i>AKY</i> and (B) <i>BBJ</i>, case samples with PSA 1–10 ng/ml and all the control sample...
<p>Areas below the ROC curves for different proportions of altered genes (<i>γ</i>), varying from 0....
<p>ROC curves derived from the univariate logistic analysis corresponding to total cfDNA (AUC = 0.85...