PerformMetaMerge: Meta-Analysis Method: Direct merging of datasets

View source: R/meta_methods.R

PerformMetaMergeR Documentation

Meta-Analysis Method: Direct merging of datasets

Description

This function is one of three methods to perform meta-analysis. Direct merging of individual data into a mega-dataset results in an analysis of that mega-dataset as if the individual data were derived from the same experiment. This method thereby ignores any inherent bias and heterogeneity between the different data. Because of this, there exists several confounders such as different experimental protocols, technical platforms, and raw data processing procedures that can mask true underlying differences. It is therefore highly suggested that this approach be used only when individual data are very similar (i.e. from the same lab, same platform, without batch effects)."

Usage

PerformMetaMerge(mSetObj = NA, BHth = 0.05)

Arguments

mSetObj

Input name of the created mSet Object.

BHth

Numeric input to set the significance level. By default it is 0.05.

Author(s)

Jeff Xiajeff.xia@mcgill.ca McGill University, Canada License: GNU GPL (>= 2)


xia-lab/MetaboAnalystR documentation built on Dec. 23, 2024, 3:44 p.m.