Hepatocellular carcinoma (HCC) accounts for most primary liver cancers and displays substantial variability in survival outcomes. Existing staging systems, such as the American Joint Committee on ...

1 Department of Biochemistry, Chemistry, and Geology, Minnesota State University, Mankato, Mankato, MN, USA. 2 Department of Computer Information Science, Minnesota ...

Modeling marketing and pricing decisions based on historical data is one of the most efficient ways to guide business strategies. This article shows how statistics and programming work together to ...

In contemporary machine learning workflows, interpretability has emerged as a critical requirement. As models grow in complexity, understanding how individual features contribute to a model’s ...

Background: Although several measures have been proposed for assessing the quality of structural and fMRI data, there is no clear guidance on which of the measures are the best indicators of quality, ...

It is built to work with Pandas dataframes, uses SciPy, statsmodels and pingouin under the hood, and runs diagnostic tests for testing assumptions while plotting figures with matplotlib and seaborn.

Isotopic composition modelling is a key aspect in many environmental studies. This work presents Isocompy, an open source Python library that estimates isotopic compositions through machine learning ...

In this project, we revisit the calculation method of the EcoIndex metric. This metric has been proposed to evaluate its absolute environmental performance from a given URL using a score between 0 and ...

An area of ongoing concern in toxicology and chemical risk assessment is endocrine disrupting chemicals (EDCs). However, thousands of legacy chemicals lack the toxicity testing required to assess ...

aDepartment of Epidemiology and Health Systems, Centre for Primary Care and Public Health (Unisanté), University of Lausanne, 10 Route de la Corniche, Lausanne 1010, Switzerland bDepartment of ...