Multi‐Scale Stratification of Metabolomic Profiles for Alzheimer's Subgroup Identification
These results highlight AutoSGI's ability to leverage multi-scale feature subsets for robust subgroup identification, providing insights into the heterogeneity of AD and its progression.
Authors
- Matthias Arnold (ORCID: https://orcid.org/0000-0002-9736-7233)
- Mustafa Büyüközkan (ORCID: https://orcid.org/0000-0001-5027-5078)
- Rima F Kaddurah-Daouk (ORCID: https://orcid.org/0000-0003-1858-5732)
- Richa Batra (ORCID: https://orcid.org/0000-0003-3708-0086)
- Mythreya Dharani
- Jan Krumsiek
Institutions
- Duke University (US)
- Cornell University (US)
- Helmholtz Zentrum München (DE)
- Weill Cornell Medicine (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_102842
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00