Abstract Feature Extraction Algorithms (FEAs) aim to address the curse of dimensionality
that makes machine learning algorithms incompetent. Our study conceptually and …

Metabolomics deals with the whole ensemble of metabolites (the metabolome). As one of
the‐omic sciences, it relates to biology, physiology, pathology and medicine; but metabolites …

Currently, numerous papers are published reporting analysis of biological data at different
omics levels by making statistical inferences. Of note, many studies, as those published in …

Deep learning revolutionized data science, and recently its popularity has grown
exponentially, as did the amount of papers employing deep networks. Vision tasks, such as …

Becoming Metric-Wise: A Bibliometric Guide for Researchers aims to inform researchers
about metrics so that they become aware of the evaluative techniques being applied to their …

The recent increase in digitally available data, tools, and processing power is fostering the
use of computational methods to the study of communication. This special issue discusses …

We present the host galaxies of four apparently nonrepeating fast radio bursts (FRBs), FRB
20181223C, FRB 20190418A, FRB 20191220A, and FRB 20190425A, reported in the first …

Since the 18th century, the p value has been an important part of hypothesis-based scientific
investigation. As statistical and data science engines accelerate, questions emerge: to what …

Microbiota-gut-brain (MGB) research is a fast-growing field of inquiry with important
implications for how human brain function and behaviour are understood. Researchers …

NMR measures a relatively small portion of the human metabolome, which roughly
corresponds to all free small molecules present in concentrations≥ 1 μM. However, the …