Steffen Möller

The paper identifies conserved healthspan-related gene modules across species using co-expression network analysis and meta-analysis of transcriptomic data.

The paper introduces a web tool to rank and test human genes for expression abundance and invariance using GTEx data, with interactive parameter control and biological relevance validation.

The paper compiles healthspan-related gene pathways in C. elegans and humans using literature review and molecular interaction data, identifying common themes like transcription and lipids.

The paper describes a method using pathway maps to analyze omics data, focusing on cellular senescence and its role in disease.