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Dataset Information

Analysis of intracellular and intercellular crosstalk from omics data.


ABSTRACT: Disease phenotypes can be described as the consequence of interactions among molecular processes that are altered beyond resilience. Here, we address the challenge of assessing the possible alteration of intra- and inter-cellular molecular interactions among processes or cells. We present an approach, designated as "Ulisse", which complements the existing methods in the domains of enrichment analysis, pathway crosstalk analysis and cell-cell communication analysis. It applies to gene lists that contain quantitative information about gene-related alterations, typically derived in the context of omics or multi-omics studies. Ulisse highlights the presence of alterations in those components that control the interactions between processes or cells. Considering the complexity of statistical ass

SUBMITTER: Chiodi A 

PROVIDER: S-EPMC12543113 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature