Results 51 to 60 of about 2,344,066 (336)
Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information [PDF]
Journal of Agricultural MachineryIntroductionThe livestock sector excels in the production of dairy and meat products. These products, serving as vital sources of animal protein, hold a significant position in household diets.
E. Vahedi Tekmehdash +4 more
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Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
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Diagnosis: shifting the ROC curve [PDF]
British Journal of General Practice, 2012 In 1972 Howie asked whether diagnosis was the Achilles heel of general practice.1 Accurate diagnosis was then, and remains, the fundamental concept of all medical practice. Are we any good at it now? This issue of the BJGP contains several papers on diagnosis and decision-making which shed light on this important area of practice. The results reported
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Molecular Oncology, EarlyView.Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece +18 more
wiley +1 more source
A boosting method for maximizing the partial area under the ROC curve
BMC Bioinformatics, 2010 Background The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function combining multiple markers.
Eguchi Shinto, Komori Osamu
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ROCS: receiver operating characteristic surface for class-skewed high-throughput data. [PDF]
PLoS ONE, 2012 The receiver operating characteristic (ROC) curve is an important tool to gauge the performance of classifiers. In certain situations of high-throughput data analysis, the data is heavily class-skewed, i.e.
Tianwei Yu
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Medical Decision Making, 2010 Receiver operating characteristic (ROC) curves evaluate the discriminatory power of a continuous marker to predict a binary outcome. The most popular parametric model for an ROC curve is the binormal model, which assumes that the marker, after a monotone transformation, is normally distributed conditional on the outcome.
Mithat, Gönen, Glenn, Heller
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nsROC: An R package for Non-Standard ROC Curve Analysis
The R Journal, 2018 The receiver operating characteristic (ROC) curve is a graphical method which has become standard in the analysis of diagnostic markers, that is, in the study of the classification ability of a numerical variable.
Sonia Pérez-Fernández +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Molecular Oncology, EarlyView.We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
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