Short Introduction

The hallmarks of Cancer are widely used for describing the molecular processes that are disrupted in cancer, particularly in the context of pan-cancer analyses, where multiple omics datasets are used to identify similarities and differences between different cancer types. In this work, we investigate the role that the hallmarks of cancer can play in providing a shared understanding of these processes at the data level. Although the use of cancer hallmarks is widespread, the way that the relationships between genes and hallmarks are defined are not systematic across the literature. There is currently no standard way of identifying hallmark activity and no consensus on how to map research results to individual hallmarks. Our aim is to identify and evaluate existing hallmark mapping approaches, in order to compare methods and establish a consensus on hallmark gene data sets.

Current member

• This project is related to Semantic Systems Bioinformatics Group at Leiden Institude of Advanced Computer Science
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