<p>A (top figure: HM27, bottom figure: HM450), scatterplots of the highest PBL β-value (β-PBL<sub>H</sub>) of 10 (HM27) and 2 (HM450) healthy control samples (X-axis) against the associated 10th percentile of CRC tumor β-values (β-CRC<sub>10</sub>) on the Y-axis. The blue dots represent the eliminated probes (HM27: n = 23,049; HM450: n = 367,833) and the red dots (HM27: n = 695; HM450: n = 30,207) represent the retained probes with a β-CRC<sub>10</sub>>β-PBL<sub>H</sub> or a β-PBL<sub>H</sub><0.2. B, scatterplots of the mean normal colon tissue β-value (β-NC<sub>M</sub>) for the retained probes from Panel A (X-axis) against the associated β-CRC<sub>10</sub> (Y-axis). The red dots (HM27: n = 512; HM450: n = 28,428) represent the eliminated p...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(<b>A</b>) Scatter plot representation of tumor cell dissemination for indicated prostate (<i>upp...
Differentially expressed genes in carcinoma tissues with fold change ≥2.0 are shown as green (upregu...
<p>We used DNA methylation data from the Infinium HumanMethylation27 Beadchip (HM27) and HumanMethyl...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
<p>The ROC curve is a graph of the true-positive rate versus the false-positive rate using different...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>(a) ROC Curves of the Various Machine Learning Models for Cancer Screening (Male). (b) ROC Curves...
<p>(A) ROC curves of the PFAA index in stage IIA (red), stage IIB (pink), stage III (orange), and st...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
<p>Solid line (<sup>____</sup>) represents ROC curve for simulation model based on 6 genotyped SNPs ...
ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
Uniform and Beta samples with 40 points each were used. a) Beta(3,3), b) Beta(15,15) and c) Beta(3,1...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(<b>A</b>) Scatter plot representation of tumor cell dissemination for indicated prostate (<i>upp...
Differentially expressed genes in carcinoma tissues with fold change ≥2.0 are shown as green (upregu...
<p>We used DNA methylation data from the Infinium HumanMethylation27 Beadchip (HM27) and HumanMethyl...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
<p>The ROC curve is a graph of the true-positive rate versus the false-positive rate using different...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>(a) ROC Curves of the Various Machine Learning Models for Cancer Screening (Male). (b) ROC Curves...
<p>(A) ROC curves of the PFAA index in stage IIA (red), stage IIB (pink), stage III (orange), and st...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
<p>Solid line (<sup>____</sup>) represents ROC curve for simulation model based on 6 genotyped SNPs ...
ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
Uniform and Beta samples with 40 points each were used. a) Beta(3,3), b) Beta(15,15) and c) Beta(3,1...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(<b>A</b>) Scatter plot representation of tumor cell dissemination for indicated prostate (<i>upp...
Differentially expressed genes in carcinoma tissues with fold change ≥2.0 are shown as green (upregu...