Integrated Fair Machine Learning for Proteomic and Genomic Analysis Workflows

20250 citationsJournal Articlehybrid Open Access

Authors

Austin Talbot · Emory University

Cristina Trevino · Emory University

Nicholas T Seyfried · Emory University

Eric B. Dammer · Emory University

Erik C.B. Johnson · Emory University

James J. Lah · Emory University

Aliza P. Wingo · University of California, Davis

Abstract

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.

Topics & Keywords

Advanced Proteomics Techniques and Applications Bioinformatics and Genomic Networks Single-cell and spatial transcriptomics

Publication Details

Published in: Alzheimer s & Dementia

Volume 21, Issue S1, pp. e100509-e100509

DOI: 10.1002/alz70855_100509

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Integrated Fair Machine Learning for Proteomic and Genomic Analysis Workflows

Authors

Abstract

Topics & Keywords

Publication Details