Results 41 to 50 of about 416,781 (292)
Comparison of ROC curve calculated with weight matrix and ROC curve calculated without weight matrix. [PDF]
, 2023 Comparison of ROC curve calculated with weight matrix and ROC curve calculated without weight matrix.
Bo Wang (86769) +4 more
core +1 more source
The genetic interpretation of area under the ROC curve in genomic profiling. [PDF]
PLoS Genetics, 2010 Genome-wide association studies in human populations have facilitated the creation of genomic profiles which combine the effects of many associated genetic variants to predict risk of disease.
Naomi R Wray +3 more
doaj +1 more source
Reasonably conduct the multiple Logistic regression analysis combined with the ROC curve analysis
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce how to reasonably carry out the method of the multiple Logistic regression analysis by combining the ROC curve analysis. Firstly， it introduced two groups of the basic concepts related to the ROC curve analysis，
Hu Chunyan, Hu Liangping
doaj +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
ROC curves and the X2 test [PDF]
Pattern Recognition Letters, 1996 In this paper we review the Receiver Operating Characteristic (ROC) curve, and the X^2 test statistic, in relation to the analysis of a confusion matrix. We then show how these two methods are related, and propose an extension to the ROC curve so that it shows contours of X^2 values.
openaire +2 more sources
ROC-AUC curve obtained by the proposed ensemble model (MENet). [PDF]
ROC-AUC curve obtained by the proposed ensemble model (MENet).
Ram Sarkar (3763573) +5 more
core +1 more source
ROC-AUC and ML calibration plot. [PDF]
, 2023 (A) ROC-AUC, area under the receiver operating characteristic curve. (B) Calibration plot of machine learning models.
Ruben D. Zapata (17262726) +8 more
core +1 more source
Time-dependent ROC curve analysis in medical research: current methods and applications
BMC Medical Research Methodology, 2017 Background ROC (receiver operating characteristic) curve analysis is well established for assessing how well a marker is capable of discriminating between individuals who experience disease onset and individuals who do not.
Adina Najwa Kamarudin +2 more
doaj +1 more source
Molecular Oncology, EarlyView.Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
Diagnostic Accuracy of Anthropometric Indicators in the Prediction of Urinary Incontinence in Physically Active Older Women [PDF]
Revista Brasileira de Ginecologia e Obstetrícia, 2016 Purpose To determine the diagnostic accuracy and the cutoff point of the variables conicity index, waist to height ratio and fat percentage to detect urinary incontinence in physically active older women. Method A total of 152 women were analyzed. The
Enaiane Cristina Menezes +5 more
doaj +1 more source