Integrated Fair Machine Learning for Proteomic and Genomic Analysis Workflows
gPCR maintains the predictive power of regularized regression while improving on the generative abilities of SVAEs, and our FairPCA solution simplifies the removal of confounding factors. These and the other 6 tools we have developed for the AD community and made available through GRIP will dramatically accelerate scientific discovery.
Authors
- Cristina Trevino
- Allan I. Levey (ORCID: https://orcid.org/0000-0002-3153-502X)
- Eric B. Dammer (ORCID: https://orcid.org/0000-0003-2947-7606)
- Farhad Imam (ORCID: https://orcid.org/0000-0003-2854-2568)
- Alex Kotlar (ORCID: https://orcid.org/0000-0002-1578-6849)
- Aliza P. Wingo (ORCID: https://orcid.org/0000-0002-6360-6726)
- Thomas S. Wingo (ORCID: https://orcid.org/0000-0002-7679-6282)
- Erik C.B. Johnson
- Austin Talbot
- James J. Lah
- Nicholas T Seyfried
Institutions
- Gates (United States) (US)
- Emory University (US)
- Combat Capabilities Development Command Soldier Center (US)
- Data Voice Exchange (United States) (US)
- University of California, Davis (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_100509
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00