<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets"</p><p>http://www.biomedcentral.com/1471-2105/8/415</p><p>BMC Bioinformatics 2007;8():415-415.</p><p>Published online 26 Oct 2007</p><p>PMCID:PMC2211325.</p><p></p>the corresponding set of ROC curves, calculated as described in the Methods section. Error bars show empirical 95% CIs
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<div><p>(A) Lack of correlation between score.20 and other measures.</p><p>(B) Diagram of the analyt...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>(a) shows genes contained in the integrated BRCA pathway, (c) shows genes contained in the GBM KE...
<p>The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biom...
<p>(A) ROC curves for Gram-negative dataset. (B) ROC curves for Gram-positive dataset. (C) ROC curve...
<p>Predictive ability of the biomarkers measured as assessed by area under the ROC curve analyses.</...
<p>Subfigure A: The ROC curves for three data sources (“Chem”: chemical structure, “Inter”: target p...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<div><p>(A) Lack of correlation between score.20 and other measures.</p><p>(B) Diagram of the analyt...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>(a) shows genes contained in the integrated BRCA pathway, (c) shows genes contained in the GBM KE...
<p>The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biom...
<p>(A) ROC curves for Gram-negative dataset. (B) ROC curves for Gram-positive dataset. (C) ROC curve...
<p>Predictive ability of the biomarkers measured as assessed by area under the ROC curve analyses.</...
<p>Subfigure A: The ROC curves for three data sources (“Chem”: chemical structure, “Inter”: target p...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<div><p>(A) Lack of correlation between score.20 and other measures.</p><p>(B) Diagram of the analyt...