Machine Learning to Detect Alzheimer’s Disease from Circulating Non-coding RNAs

Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic tests. Often, high-throughput approaches are applied to discover biomarker signatures. These have to be validated in larger cohorts and evaluated by adequate statistical learning approaches. Previous...

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Detalhes bibliográficos
Publicado no:Genomics Proteomics Bioinformatics
Main Authors: Ludwig, Nicole, Fehlmann, Tobias, Kern, Fabian, Gogol, Manfred, Maetzler, Walter, Deutscher, Stephanie, Gurlit, Simone, Schulte, Claudia, von Thaler, Anna-Katharina, Deuschle, Christian, Metzger, Florian, Berg, Daniela, Suenkel, Ulrike, Keller, Verena, Backes, Christina, Lenhof, Hans-Peter, Meese, Eckart, Keller, Andreas
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2019
Assuntos:
Original research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6943763/
https://ncbi.nlm.nih.gov/pubmed/31809862
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.gpb.2019.09.004
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