Lena Möbus

The paper presents an AI workflow for mapping Key Events to genes in Adverse Outcome Pathways, improving accuracy and reducing manual effort through semantic retrieval, LLM refinement, and expert curation.

OpTiles dynamically defines tiling windows for methylation data based on CpG distribution and variability, improving reliability and annotation of targeted methylation datasets.

This study shows that endothelial cells are sensitive to systemic pro-fibrotic signals and initiate early pro-fibrotic mechanisms in pulmonary fibrosis, independent of other cell types.

This study uses RNA sequencing to analyze immune gene responses in macrophages exposed to bleomycin, identifying dose-dependent gene alterations and linking them to cytokine and proteinase activity.

This study investigates how polarizing environments affect macrophage gene expression and DNA methylation, revealing long-term regulatory responses and common epigenetic changes across stimuli.

This paper maps disease relationships using six data dimensions to reveal novel insights beyond traditional classifications, identifying shared features between Type 2 diabetes and Alzheimer's disease.

This study integrates public transcriptomic data with network analysis to identify molecular features of psoriasis, revealing key genes and networks involved in the disease.