Multiple-testing correction in metabolome-wide association studies

Multiple-testing correction in metabolome-wide association studies

Abstract Background The search for statistically significant relationships between molecular markers and outcomes is challenging when dealing with high-dimensional, noisy and collinear multivariate omics data, such as metabolomic profiles. Permutation procedures allow for the estimation of adjusted...

Full description

Bibliographic Details
Main Authors: Alina Peluso, Robert Glen, Timothy M. D. Ebbels
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Bioinformatics
Subjects:
FWER
MWAS
MWSL
Multiple testing
Permutation
Correlated tests
Online Access:https://doi.org/10.1186/s12859-021-03975-2

Internet

https://doi.org/10.1186/s12859-021-03975-2

Similar Items