MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach.

ABSTRACT:

Background

Determining sample sizes for metabolomic experiments is important but due to the complexity of these experiments, there are currently no standard methods for sample size estimation in metabolomics. Since pilot studies are rarely done in metabolomics, currently existing sample size estimation approaches which rely on pilot data can not be applied.

Results

In this article, an analysis based approach called MetSizeR is developed to estimate sample size for metabolomic experiments even when experimental pilot data are not available. The key motivation for MetSizeR is that it considers the type of analysis the researcher intends to use for data analysis when estimating sample size. MetSizeR uses information about the data analysis technique and prior expert knowledge o

SUBMITTER: Nyamundanda G 

PROVIDER: S-EPMC4222287 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature