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A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression.

To determine if a multi-analyte cerebrospinal fluid (CSF) peptide signature can be used to differentiate Alzheimer's Disease (AD) and normal aged controls (NL), and to determine if this signature can also predict progression from mild cognitive impairment (MCI) to AD, analysis of CSF samples was don...

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Bibliografische gegevens
Hoofdauteurs: Daniel A Llano, Saurabh Bundela, Raksha A Mudar, Viswanath Devanarayan, Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Public Library of Science (PLoS) 2017-01-01
Reeks:PLoS ONE
Online toegang:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0182098&type=printable
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