Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer's disease.
Unbiased data-driven omic approaches are revealing the molecular heterogeneity of Alzheimer disease. Here, we used machine learning approaches to integrate high-throughput transcriptomic, proteomic, metabolomic, and lipidomic profiles with clinical and neuropathological data from multiple human AD c...
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| Main Authors: | Abdallah M Eteleeb, Brenna C Novotny, Carolina Soriano Tarraga, Christopher Sohn, Eliza Dhungel, Logan Brase, Aasritha Nallapu, Jared Buss, Fabiana Farias, Kristy Bergmann, Joseph Bradley, Joanne Norton, Jen Gentsch, Fengxian Wang, Albert A Davis, John C Morris, Celeste M Karch, Richard J Perrin, Bruno A Benitez, Oscar Harari |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-04-01
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| Series: | PLoS Biology |
| Online Access: | https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3002607&type=printable |
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