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Bayesian Graphical Network Analyses Reveal Complex Biological Interactions Specific to Alzheimer’s Disease
With different approaches to finding prognostic or diagnostic biomarkers for Alzheimer’s disease (AD), many studies pursue only brief lists of biomarkers or disease specific pathways, potentially dismissing information from groups of correlated biomarkers. Using a novel Bayesian graphical network me...
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| Publicado no: | J Alzheimers Dis |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4499459/ https://ncbi.nlm.nih.gov/pubmed/25613103 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/JAD-141497 |
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