A Dirichlet-multinomial mixed model for determining differential abundance of mutational signatures
Mutational signature analysis is an expanding field and we envision our framework to be used widely to detect global changes in mutational process activity. Our methodology is available in the R package CompSign and offers an ample toolkit for the analysis and visualisation of differential abundance of compositional data such as, but not restricted to, mutational signatures.
Authors
- Lena Morrill Gavarró (ORCID: https://orcid.org/0000-0002-2242-4010)
- Florian Markowetz (ORCID: https://orcid.org/0000-0002-2784-5308)
- Dominique‐Laurent Couturier (ORCID: https://orcid.org/0000-0001-5774-5036)
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- University of Cambridge (GB)
- Cancer Research UK (GB)
- University of Oxford (GB)
- Cancer Research UK Cambridge Center (GB)
- MRC Weatherall Institute of Molecular Medicine (GB)
- MRC Biostatistics Unit (GB)
- Medical Research Council (GB)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1186/s12859-025-06055-x
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome Trust
- Cancer Research UK