Latest Articles

In this article, we review the function of post-hoc tests in statistical analysis, how to interpret them and when to use them (and not use them).

This article explores new workflows using data-driven modeling to improve culture medium and new control algorithms allowing for better modulation within the bioprocess design space.

Structural biology uses a variety of techniques to determine the 3D structures of biomolecules such as proteins, nucleic acids and their complexes. In this article, we consider the key techniques, their role in structural biology, strengths and limitations.

The Wilcoxon signed rank test, which is also known as the Wilcoxon signed rank sum test and the Wilcoxon matched pairs test, is a non-parametric statistical test used to compare two dependent samples (in other words, two groups consisting of data points that are matched or paired). In this article, we explain how and when this test should be used.

In this article, we consider what structural biology tells us and the techniques used to investigate it, the role of computation and how techniques can be used together to answer questions in a range of application areas.

The Kruskal–Wallis test is a statistical test used to compare two or more groups for a continuous or discrete variable. It is a non-parametric test, meaning that it assumes no particular distribution of your data and is analogous to the one-way analysis of variance (ANOVA). The Kruskal–Wallis test is sometimes referred to as the one-way ANOVA on ranks, or the Kruskal–Wallis one-way ANOVA.

With the world of science rapidly evolving, and a new year beginning, we look at the trends breaking through right now, asking experts: where is the world of science headed?

This article will explore the importance of cell culture quality control and highlight recent developments in this area.

This article explores how sponsors can overcome some of the challenges of data privacy when conducting decentralized clinical trials.

The chi-squared test, often written as χ2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are different from expectations. In this article, we explore the basics of this important test.