SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer
Our results highlight SiRCle's ability to reveal mechanisms of phenotype regulation in cancer, both specifically in ccRCC and broadly in a PanCan context. SiRCle ranks genes according to biological features. https://github.com/ArianeMora/SiRCle_multiomics_integration .
Authors
- Ariane Mora (ORCID: https://orcid.org/0000-0003-1331-8192)
- Christian Frezza (ORCID: https://orcid.org/0000-0002-3293-7397)
- Mikael Bodén (ORCID: https://orcid.org/0000-0003-3548-268X)
- Christina Schmidt (ORCID: https://orcid.org/0000-0002-3867-0881)
- Brad Balderson (ORCID: https://orcid.org/0000-0002-5153-6601)
Institutions
- The University of Queensland (AU)
- University of Cologne (DE)
- University of Cambridge (GB)
- Hutchison/MRC Research Centre (GB)
- Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE)
- University Hospital Cologne (DE)
- Medical Research Council (GB)
Publication Details
- Journal
- Genome Medicine
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1186/s13073-024-01415-3
- Citations
- 3
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.26
Funders
- Universität zu Köln