rankProbes: Rank CpG probes

View source: R/rankProbes.R

rankProbesR Documentation

Rank CpG probes

Description

Apply a linear model to Illumina's 450k or EPIC methylation data to get the t-value of each CpG probe

Usage

rankProbes(methData, pheno = NULL, paired = FALSE, explanatory = 1,
  covariates = c(), pairColumn = c(), caseGroup = 1, refGroup = 2,
  continuous = NULL, typeInput = "beta", typeAnalysis = "M")

Arguments

methData

A data frame or a matrix containing Illumina's CpG probes in rows and samples in columns. A SummarizedExperiment object can be used too

pheno

A data frame or a matrix containing samples in rows and covariates in columns. If NULL (default), pheno is extracted from the SummarizedExperiment object

paired

Perform a paired t-test (default = FALSE)

explanatory

The column name or position from pheno used to perform the comparison between groups (default = first column)

covariates

A list or character vector with column names from pheno used as data covariates in the linear model

pairColumn

Only for paired analysis. The column name or position from pheno used to connect the paired samples (default = NULL)

caseGroup

The group name or position from explanatory variable used as cases to perform the comparison (default = first group)

refGroup

The group name or position from explanatory variable used as reference to perform the comparison (default = second group)

continuous

A list or character vector with columns names from pheno which should be treated as continuous variables (default = none)

typeInput

Type of input methylation data. "beta" for Beta-values and "M" for M-values

typeAnalysis

"M" to use M-values to rank the CpG probes (default). "beta" to use Beta-values instead

Value

A named vector containing the t-values from the linear model for each CpG probe

Author(s)

Jordi Martorell Marugán, jordi.martorell@genyo.es

References

Smyth, G. K. (2005). Limma: linear models for microarray data. Bioinformatics and Computational Biology Solutions using R and Bioconductor, 397-420.

See Also

mCSEATest

Examples

data(mcseadata)
myRank <- rankProbes(betaTest, phenoTest, refGroup = "Control")
head(myRank)

jordimartorell/mCSEA documentation built on Oct. 24, 2024, 4:44 a.m.