Stage-specific gene pair ratios highlight genes and mechanisms related to presymptomatic and symptomatic Multiple Myeloma
We integrate the traditional analysis of DEGs with the concepts of MEGs and RMEGs, creating a novel computational approach capable of identifying key genes and pathways that can serve as a highly-filtered pool of candidate MM stage identification markers for further experimental investigation.
Authors
- George Minadakis (ORCID: https://orcid.org/0000-0002-7752-2208)
- George M. Spyrou (ORCID: https://orcid.org/0000-0002-2470-3363)
- Nestoras Karathanasis (ORCID: https://orcid.org/0000-0003-4119-0851)
- Efi Athieniti (ORCID: https://orcid.org/0000-0002-0091-5986)
- Kyriaki Savva (ORCID: https://orcid.org/0000-0002-0001-6593)
- Marilena M. Bourdakou (ORCID: https://orcid.org/0000-0001-8075-0634)
- Grigoris Georgiou
Institutions
- Cyprus Institute of Neurology and Genetics (CY)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.07.017
- Primary Topic
- Multiple Myeloma Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission