<p><i>For all 86 samples in the prediction set, Sensitivity = 87%, Specificity = 90%.</i><sup></sup></p><p><b>AR</b>: acute rejection (Grades 1–3); <b>STA</b>: stable (Grade 0).</p
<p>Number of significant models, scaled mean squared prediction error from cross-validation (cv-SMSE...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
Model-based prediction is dependent on many choices ranging from the sample collection and predictio...
<p>191 blood samples serially collected within 6 mo before (pre) or after (post) biopsy-confirmed AR...
<p>(A) The predictive model constructed from the TCGA training set was applied to an independent TCG...
AbstractStatistical modeling is an important area of biomarker research of important genes for new d...
<p>Each row represents a clinical phenotype and consists of 130 cells, each of which represents a Pe...
Background: Microarray data have been used for gene signature selection to predict clinical outcomes...
<p><b>A.</b> The predicted probability of a sample having a non-invasive diagnosis of AR, based on t...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
Statistical modeling is an important area of biomarker research of important genes for new drug targ...
<p>Abbreviations: PPV: positive predictive value; NPV: negative predictive value.</p>a<p>First-biops...
Model-based prediction is dependent on many choices ranging from the sample collection and predictio...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
Abstract Background Our goal was to examine how various aspects of a gene signature influence the su...
<p>Number of significant models, scaled mean squared prediction error from cross-validation (cv-SMSE...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
Model-based prediction is dependent on many choices ranging from the sample collection and predictio...
<p>191 blood samples serially collected within 6 mo before (pre) or after (post) biopsy-confirmed AR...
<p>(A) The predictive model constructed from the TCGA training set was applied to an independent TCG...
AbstractStatistical modeling is an important area of biomarker research of important genes for new d...
<p>Each row represents a clinical phenotype and consists of 130 cells, each of which represents a Pe...
Background: Microarray data have been used for gene signature selection to predict clinical outcomes...
<p><b>A.</b> The predicted probability of a sample having a non-invasive diagnosis of AR, based on t...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
Statistical modeling is an important area of biomarker research of important genes for new drug targ...
<p>Abbreviations: PPV: positive predictive value; NPV: negative predictive value.</p>a<p>First-biops...
Model-based prediction is dependent on many choices ranging from the sample collection and predictio...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
Abstract Background Our goal was to examine how various aspects of a gene signature influence the su...
<p>Number of significant models, scaled mean squared prediction error from cross-validation (cv-SMSE...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
Model-based prediction is dependent on many choices ranging from the sample collection and predictio...