Nature

Enhancing functional gene set analysis with large language models

Large language models (LLMs) demonstrate potential as assistants in functional genomics, offering a new avenue for gene set analysis. In our evaluation of five LLMs, GPT-4 was the top-performing model ...
Nature

Integrative transcriptomic analysis identifies shared EndMT-related gene signatures in endometriosis and recurrent miscarriage

Endometriosis (EMs) and recurrent miscarriage (RM) represent major reproductive health challenges. This study investigates the involvement of endothelial-mesenchymal transition (EndMT) in these ...
GEN

GeneAgent Reduces AI Hallucinations in Gene Function Prediction

Gene-set analysis seeks to identify the biological mechanisms underlying groups of genes with shared functions. Large language models (LLMs) have shown promise in generating functional descriptions ...
EurekAlert!

New R package revolutionizes gene set enrichment analysis visualization for biomedical research

Representative visualization features of the GseaVis R package showing enhanced GSEA plots, multi-pathway comparisons, heatmap annotations, and circular layout options for comprehensive gene set ...