Results 131 to 140 of about 2,525,063 (363)
An advanced‐fidelity CRISPR nuclease, FnCas9‐AF2, is rationally engineered to discriminate single‐base mismatches with unprecedented level precision. Integrated into the MUTE‐Seq workflow, FnCas9‐AF2 depletes wild‐type cell‐free DNA, thereby exposing rare tumor‐derived mutant DNA (a molecular “needle in a haystack”).
Sunghyeok Ye +20 more
wiley +1 more source
ROC Curves Determined under Several Experimental Conditions [PDF]
Barry Leshowitz
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Model Assessment with ROC Curves [PDF]
Classification models and in particular binary classification models are ubiquitous in many branches of science and business. Consider, for example, classification models in bioinformatics that classify catalytic protein structures as being in an active or inactive conformation.
openaire +1 more source
On the shape of energy-detection ROC curves [PDF]
A numerical study shows that energy-detection ROC curves based on chi-squared distributions may be accurately represented by binormal receiver operating characteristic (ROC) curves. This allows the detector accuracy and the ROC shape (asymmetry) to be expressed simply in terms of the distribution parameters.
openaire +3 more sources
Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob +3 more
wiley +1 more source
ODC and ROC Curves, Comparison Curves and Stochastic Dominance
SummaryWe discuss two novel approaches to inter‐distributional comparisons in the classical two‐sample problem. Our starting point is properly standardised and combined, very popular in several areas of statistics and data analysis, ordinal dominance and receiver characteristic curves, denoted by ODC and ROC, respectively.
Teresa Ledwina, Adam Zagdański
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The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek +7 more
wiley +1 more source
Chalcogenide optical PCMs have gathered interest for their potential in compact, non‐volatile optics and photonics. Free‐space PCM metasurfaces require new considerations from phase change memory that need to be addressed for reliable scale‐up. Several failure mechanisms pertaining to free‐space PCM devices and layout methods are isolated to prevent ...
Cosmin Constantin Popescu +19 more
wiley +1 more source
Enzymatic markers of gallstone-induced pancreatitis identified by ROC curve analysis, discriminant analysis, logistic regression, likelihood ratios, and information theory [PDF]
Steven C. Kazmierczak +2 more
openalex +1 more source
Advancing Clinical Medicine with Raman Spectroscopy: Current Trends and Future Perspectives
Raman spectroscopy and microscopy may become excellent tools in clinical medicine, including hematology, oncology, infectious diseases, neurology, gastroenterology, reproductive medicine, rheumatology, and cardiovascular research. However, many challenges such as signal interference, standardization issues, and limited clinical application need to be ...
Jiří Bufka +5 more
wiley +1 more source

