Nearest‐neighbors assisted unsupervised analysis for methylation array profiling for central nervous system tumors
The NN method identifies the five nearest reference dataset neighbors to a tested sample and provides an objective estimation of the tested sample methylation class cluster rather than relying on subjective visualization using dimensionality reduction methods such as UMAP and t-SNE.
Authors
- Aditya Raghunathan (ORCID: https://orcid.org/0000-0001-6198-7441)
- M. Adelita Vizcaíno (ORCID: https://orcid.org/0000-0003-4636-8743)
- Cristiane M. Ida (ORCID: https://orcid.org/0000-0003-2768-2913)
- Rachael A. Vaubel (ORCID: https://orcid.org/0000-0001-8842-5975)
- Aivi T. Nguyen (ORCID: https://orcid.org/0000-0003-1809-9451)
- Jorge A. Trejo‐Lopez (ORCID: https://orcid.org/0000-0001-5346-7753)
- Caterina Giannini (ORCID: https://orcid.org/0000-0003-2757-6782)
- Mallika Gandham
- Surendra Dasari
- Kenneth Aldape
- Matthew Isaacson
- Cherisse Marcou
- Stephanie Smoley (ORCID: https://orcid.org/0009-0003-3869-4490)
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Brain Pathology
- Published
- 2026-06-18
- DOI
- https://doi.org/10.1111/bpa.70117
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00