The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: Discovering clinical biomarkers through multivariate modeling is crucial for precise pneumonia diagnosis and treatment. However, existing methods often fall short in either their ...

Explainable machine learning (ML) is important for biosignature prediction on future astrobiology missions to minimize the risk of false positives due to geochemical biotic mimicry and false negatives ...

Objective: This study aimed to examine the relationship between physical activity volume and sleep duration in older adults, using objective monitoring data to investigate their non-linear association ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

ABSTRACT: We introduce the Kernel-based Partial Conditional Mean Dependence, a scalar-valued measure of conditional mean dependence of Y given X , while adjusting for the nonlinear dependence on Z .

Hi, when I try to (uv) pip install this package from Python 3.12, there is no wheel (see #27) so we build from source. Cython 3.1.0 was released yesterday, so it is ...

It is my understanding that large imbalances in predictor variable categories (e.g., a sample with 10% males and 90% females) will reduce a variable's importance (variable importance measure) and ...