Results 151 to 160 of about 3,322,155 (235)

Rates of Evolution Differ Between Cell Types Identified by Single‐Cell RNAseq in Threespine Stickleback

open access: yesMolecular Ecology, Volume 35, Issue 19, October 2026.
ABSTRACT Rates of evolutionary change vary by gene. While some broad gene categories are highly conserved with little divergence over time, others undergo continuous selection pressure and are highly divergent among populations or species. But such comparative evolutionary studies rely on gene ontology categories that are rarely validated in the study ...
Maria L. Rodgers   +11 more
wiley   +1 more source

Problems With GO Enrichment as an Endpoint for Ecological Omics Interpretation

open access: yesMolecular Ecology, Volume 35, Issue 19, October 2026.
ABSTRACT Gene Ontology (GO) enrichment analysis has been widely adopted for interpretating omics data, including in ecological research. Although valuable for summarizing large gene lists into functional categories, it is often treated as the final interpretive step.
Ehsan Pashay Ahi   +2 more
wiley   +1 more source

The Role of Labour Market Institutions in Shaping Euro Area Monetary Policy Transmission

open access: yesOxford Bulletin of Economics and Statistics, Volume 88, Issue 5, Page 919-936, October 2026.
ABSTRACT We examine how labour market institutions shape monetary policy transmission in euro area countries. A theoretical model suggests that higher union density flattens the Phillips curve, amplifying output responses while dampening the inflation effects of monetary shocks. This is empirically confirmed using an interacted panel VAR.
Maximilian Boeck, Christian Glocker
wiley   +1 more source

A hybrid CNN-transformer framework optimized by Grey Wolf Algorithm for accurate sign language recognition. [PDF]

open access: yesSci Rep
Hashi AO   +6 more
europepmc   +1 more source

An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction

open access: yes
This paper presents a unique solution to challenges in medical image processing by incorporating an adaptive curve grey wolf optimization (ACGWO) algorithm into neural network backpropagation.
Li, Zhikai   +4 more
core   +1 more source

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