ComBat.mc

A data matrix with column for samples and row for probe.

Batch covariate (multiple batches allowed)

batch

Number of cores will be used for computation

nCores

See <code>ComBat</code> in <code>sva</code> package for extra options


A multi-processor wrapper for ComBat method. ComBat is a method to adjust batch effect where the batch covariate is known. 


Illumina Methylation BeadChip array measurements have
intrinsic levels of background noise that degrade methylation measurement.
The ENmix package provides an efficient data pre-processing tool designed
to reduce background noise and improve signal for DNA methylation estimation.
Several efficient novel methods were incorporated in the package: ENmix is a
model based background correction method that can significantly improve
accuracy and reproducibility of methylation  measures; RCP taking
advantage of the high spatial correlation of DNA methylation levels between
nearby type I and II probe pairs to reduce probe type bias and improve
data quality on type II probe measures.The data structure used by the
ENmix package is compatible with
several other related R packages, such as minfi, wateRmelon and ChAMP,
providing straightforward integration of ENmix-corrected datasets for
subsequent data analysis. The software is designed to support large
scale data analysis, and provides multi-processor parallel computing
wrappers for some commonly used but computation intensive data
preprocessing methods.
In addition ENmix package has selectable complementary functions for
efficient data visualization (such as data distribution plotting),
quality control (identification and filtering of low quality data points,
samples, probes, and outliers, along with imputation of missing values),
inter-array normalization (3 different quantile normalizations),
identification of probes with multimodal distributions due to SNPs and
other factors, and exploration of data variance structure using principal
component regression analysis plots. Together these provide a set of
flexible and transparent tools for preprocessing of EWAS data in a
computationally-efficient and user-friendly package.

Zongli Xu

ENmix

Data preprocessing and quality control for Illumina
HumanMethylation450 and MethylationEPIC BeadChip

ComBat.mc function

A multi-processor wrapper for ComBat method. ComBat is a method to adjust batch effect where the batch covariate is known.

ComBat.mc: A multi-processor wrapper for ComBat method.

Description

Usage

Arguments

Value

References

See Also

Examples