An important problem in the field of bioinformatics is to identify interactive effects among profiled variables for outcome prediction. In this paper, a logistic regression model with pairwise ...

The association between UAR and the risk of MASLD was analyzed using weighted binomial logistic regression, restricted cubic splines (RCS), and ... Although guidelines recommend imaging as a detection ...

Methods A randomised controlled trial, across eight hospitals in the UK, aimed to establish the clinical effectiveness of an undetectable hs-cTn and ECG (limit of detection and ECG discharge (LoDED)) ...

The limit of detection (LOD) in the presence of 20 nM hairpins obtained through condition optimization is 5.4 pM, which is similar to the sensitivity of Cas12a itself. After reducing the concentration ...

Composite.py Defines CompositeFraudDetector, which stacks a base logistic model and an anomaly engine via a second‐stage logistic meta‐model.. Anomaly_detection.py Implements AnomalyDetectionEngine, ...

Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (f-AuNPs). Intense color ...

Abstract: The detection problem in statistical signal processing can be succinctly formulated: given m (possibly) signal bearing, n -dimensional signal-plus-noise snapshot vectors (samples) and N ...