Extending gene set variation analysis with a reference dataset to stabilize scores
The rsGSVA technique enhances the GSVA functionality by incorporating a reference dataset. This integration of a reference dataset makes the enrichment scores independent of the input distribution and ensures their stability and reproducibility, even as samples are added or removed.
Authors
- Jeffrey C. Miecznikowski (ORCID: https://orcid.org/0000-0003-0759-5118)
- Wendy Powley (ORCID: https://orcid.org/0000-0002-8653-7540)
- Lorin M. Towle-Miller (ORCID: https://orcid.org/0000-0002-6578-5748)
- William B. Jordan
- Alexandre Lockhart (ORCID: https://orcid.org/0000-0003-0578-6308)
- Mandy Bergquist
- A K Virmani
- Johannes Freudenburg
Institutions
- Age UK (GB)
- Cancer Research And Biostatistics (US)
- University at Buffalo, State University of New York (US)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1186/s12864-025-11769-6
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00