Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges

BACKGROUND: In high-dimensional data (HDD) settings, the number of variables associated with each observation is very large. Prominent examples of HDD in biomedical research include omics data with a large number of variables such as many measurements across the genome, proteome, or metabolome, as w...

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Detalles Bibliográficos
Autores principales: Rahnenführer, Jörg, De Bin, Riccardo, Benner, Axel, Ambrogi, Federico, Lusa, Lara, Boulesteix, Anne-Laure, Migliavacca, Eugenia, Binder, Harald, Michiels, Stefan, Sauerbrei, Willi, McShane, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Guideline
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186672/
https://www.ncbi.nlm.nih.gov/pubmed/37189125
http://dx.doi.org/10.1186/s12916-023-02858-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186672/
https://www.ncbi.nlm.nih.gov/pubmed/37189125
http://dx.doi.org/10.1186/s12916-023-02858-y

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