tool.metap: Estimate meta P-values

In zeynebkurtUCLA/Mergeomics: Integrative network analysis of omics data

Description

tool.metap returns the meta p-values of given datasets with multiple p-values.

Usage

tool.metap(datasets, idcolumn, pcolumn, weights = NULL)

Arguments

datasets	data list, whose meta p-values will be obtained
idcolumn	column number of the datasets that includes identities
pcolumn	column number of the datasets that includes p-values
weights	weight list of the data list

Value

res	data list including identities and meta p-values of the given datasets

Author(s)

Ville-Petteri Makinen

Examples

set.seed(1)
## let us assume we have p-values for the coexpr modules obtained from 
## distinct analyses by using different gene-marker mapping sets (e.g. eQTLs
## from diff tissues) and we would like to make a meta-analysis for 
## these multiple Pvalues of the modules:
datasets=list()
## we have 3 datasets and 3 diff result sets
datasets[[1]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"), 
P=c(rnorm(4)))
datasets[[2]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"), 
P=c(rnorm(4)))
datasets[[3]] <- data.frame(MODULE=c("Mod1", "Mod2", "Mod3", "Mod4"),
P=c(rnorm(4)))
idcolumn <- "MODULE" ## identifiers of the modules are in the 1st col
pcolumn <- "P" ## p values of the modules are in the 2nd col
tool.metap(datasets, idcolumn, pcolumn)

zeynebkurtUCLA/Mergeomics documentation built on May 14, 2019, 1:59 a.m.