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Exploring molecular signatures of senescence with markeR, an R toolkit for evaluating gene sets as phenotypic markers

2025-12-09

Abstract excerpt

<h4>ABSTRACT</h4> Many biological processes, including cellular senescence, manifest as diverse phenotypes across cell types and conditions. Lacking definitive markers, researchers often rely on the expression of sets of genes to identify these complex states. However, multiple approaches exist to summarise gene set expression into quantitative metrics ( i.e. , signatures), each with distinct strengths and limit...

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Literature Corpus work
a05dc28d-46cb-5031-9c08-7318bcb52434
DOI
10.64898/2025.12.05.692517
Open publication

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