A novel quantitative framework to analyse the inner structure of tumour spheroids in terms of the mechanisms that underly growth.

A simulation study is used to demonstrate how mistakes in identifying the experimental unit and the unit of analysis can lead to incorrect analyses and inappropriate inferences when reporting research studies.

Manuscripts should include all the experimental and statistical details that are needed to replicate the experiments and analyses reported in them.

Breast luminal epithelial cells are the hotspots of aging-associated changes, which prime aged epithelia for oncogenic gene activation and may explain individual differences in breast cancer susceptibility due to the aging-associated increase in gene expression variances in luminal epithelia.

The RIPOSTE framework has been developed to support early and regular discussions between scientists and statisticians in order to improve the design, conduct and analysis of laboratory studies.

Bayesian estimation of the proportion of the population that would show an effect in an experiment provides a broadly applicable alternative to standard null hypothesis tests on the population mean with several advantages.

What can authors and reviewers do to keep common statistical mistakes out of the literature?

A new machine-learning toolbox unveils coevolutionary protein motifs related to structure, function, and phylogeny from sequence information only.

CR9114, one of the most broadly neutralizing anti-influenza antibodies characterized to date, acquires affinity to divergent HA subtypes sequentially, due to higher order interactions between the nested sets of mutations required for binding each distinct subtype.

Lesions to the anterior-medio-dorsal thalamus cause widespread behavioral impairments across multiple cognitive domains, suggesting that thalamic hubs are critical for interconnecting diverse cognitive processes.