Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer's disease
Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer's disease
About this item
Full title
Author / Creator
Eteleeb, Abdallah M , Novotny, Brenna C , Tarraga, Carolina Soriano , Sohn, Christopher , Dhungel, Eliza , Brase, Logan , Nallapu, Aasritha , Buss, Jared , Farias, Fabiana , Bergmann, Kristy , Bradley, Joseph , Norton, Joanne , Gentsch, Jen , Wang, Fengxian , Davis, Albert A , Morris, John C , Karch, Celeste M , Perrin, Richard J , Benitez, Bruno A and Harari, Oscar
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
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 cohorts. We discovered 4 unique multimodal molecula...
Alternative Titles
Full title
Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer's disease
Authors, Artists and Contributors
Author / Creator
Novotny, Brenna C
Tarraga, Carolina Soriano
Sohn, Christopher
Dhungel, Eliza
Brase, Logan
Nallapu, Aasritha
Buss, Jared
Farias, Fabiana
Bergmann, Kristy
Bradley, Joseph
Norton, Joanne
Gentsch, Jen
Wang, Fengxian
Davis, Albert A
Morris, John C
Karch, Celeste M
Perrin, Richard J
Benitez, Bruno A
Harari, Oscar
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_3069177653
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069177653
Other Identifiers
ISSN
1545-7885,1544-9173
E-ISSN
1545-7885
DOI
10.1371/journal.pbio.3002607
