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Journal of Neurology, Neurosurgery and Psychiatry (JNNP)1d
Autoimmune encephalitis: recovery, residual symptoms and predictors of long-term sequelae
Background Data regarding long-term recovery from autoimmune encephalitis (AE) remain limited. Methods This retrospective ...
Scientific Research Publishing10d
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
The BMJ2d
Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
eLife22d
Minus the Error: Testing for Positive Selection in the Presence of Residual Alignment Errors
Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...
eLife4d
A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales
Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...