“Classic” forest plots show the effect sizes from individual studies and the aggregate effect
from a meta‐analysis. However, in ecology and evolution, meta‐analyses routinely contain …

If many changes are necessary to improve the quality of neuroscience research, one
relatively simple step could have great pay‐offs: to promote the adoption of detailed …

The programmed cell death protein 1 (PD‐1) signaling pathway is a major source of
dampened T cell activity in the tumor microenvironment. While clinical approaches to …

Cost-efficient library generation by early barcoding has been central in propelling single-cell
RNA sequencing. Here, we optimize and validate prime-seq, an early barcoding bulk RNA …

Results published in an article by Poore et al.(Nature. 2020; 579: 567–574) suggested that
machine learning models can almost perfectly distinguish between tumour types based on …

Abstract The Palaeo-Agulhas Plain formed an important habitat exploited by Pleistocene
hunter-gatherer populations during periods of lower sea level. This productive, grassy …

Aim: Smoking strongly influences DNA methylation, with current and never smokers
exhibiting different methylation profiles. Methods: To advance the practical applicability of …

Rainfall partitioning into stemflow, throughfall, and interception loss by vegetation alters
hydrological and biogeochemical fluxes between vegetation and soil. Here, we compiled a …

Predicting biomedical outcomes from Magnetoencephalography and
Electroencephalography (M/EEG) is central to applications like decoding, brain-computer …

Electrophysiological methods, that is M/EEG, provide unique views into brain health. Yet,
when building predictive models from brain data, it is often unclear how electrophysiology …