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

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

Abstract 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 metabolo...

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Bibliographic Details
Main Authors: Jörg Rahnenführer, Riccardo De Bin, Axel Benner, Federico Ambrogi, Lara Lusa, Anne-Laure Boulesteix, Eugenia Migliavacca, Harald Binder, Stefan Michiels, Willi Sauerbrei, Lisa McShane, for topic group “High-dimensional data” (TG9) of the STRATOS initiative
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Medicine
Subjects:
High-dimensional data
Omics data
STRATOS initiative
Analytical goals
Initial data analysis
Exploratory data analysis
Online Access:https://doi.org/10.1186/s12916-023-02858-y

Internet

https://doi.org/10.1186/s12916-023-02858-y

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