normalizeData: Normalization of RNA-Seq count data.

Description Usage Arguments Value Author(s) References Examples

View source: R/normalization.R

Description

Normalizes RNA-seq count data using previously published approaches. Each samples' read counts are corrected by a normalizing factor. The options are "RLE" by (Anders and Huber, 2010), and "upperquartile" by (Bullard et al., 2010).

Usage

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  normalizeData(X, normalization)

Arguments

X

data a raw data matrix, where' columns are interpreted as samples and rows as genomic regions.

normalization

method used for normalizing the reads. RLE is the method used by (Anders and Huber, 2010), upperquartile is the Upper-Quartile method from (Bullard et al., 2010), and none deactivates normalization. (Default = "RLE").

Value

"list" A list containing the normalized data (in its "X" component) as well as the size-factors used for the normalization ("sizeFactors").

Author(s)

Guenter Klambauer [email protected] and Thomas Unterthiner [email protected]

References

Anders, S. and Huber, W. (2010). Differential expression analysis for sequence count data. Genome Biol, 11(10), R106.

Bullard, J. H., Purdom, E., Hansen, K. D., and Dudoit, S. (2010). Evaluation of statistical methods for normalization and differential expression in mRNA-seq experiments. BMC Bioinformatics, 11, 94.

Examples

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dexus documentation built on Nov. 17, 2017, 9:17 a.m.