Cargando…
Metabolomic predictors of phenotypic traits can replace and complement measured clinical variables in population-scale expression profiling studies
Population-scale expression profiling studies can provide valuable insights into biological and disease-underlying mechanisms. The availability of phenotypic traits is essential for studying clinical effects. Therefore, missing, incomplete, or inaccurate phenotypic information can make analyses chal...
Autores principales: | Niehues, Anna, Bizzarri, Daniele, Reinders, Marcel J.T., Slagboom, P. Eline, van Gool, Alain J., van den Akker, Erik B., ’t Hoen, Peter A.C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339202/ https://www.ncbi.nlm.nih.gov/pubmed/35907790 http://dx.doi.org/10.1186/s12864-022-08771-7 |
Ejemplares similares
-
MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health’s (1)H-NMR metabolomics data
por: Bizzarri, D, et al.
Publicado: (2022) -
1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpoints
por: Bizzarri, D., et al.
Publicado: (2021) -
Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk
por: Kuiper, Lieke M, et al.
Publicado: (2023) -
A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability
por: Sontrop, Herman MJ, et al.
Publicado: (2009) -
Increasing number of long-lived ancestors marks a decade of healthspan extension and healthier metabolomics profiles
por: van den Berg, Niels, et al.
Publicado: (2023)