NormTransformation: Variance-stabilizing transformation (VST) procedure

In ChIPtest: Nonparametric Methods for Identifying Differential Enrichment Regions with ChIP-Seq Data

Description

Assume observed data approximately follow Poisson Distribution. Apply VST procedure to transform the data as approximate normal with constant variance of 1

Usage

NormTransformation(data)

Arguments

data	Input ChIP-seq data (counts), which approximately follow Poisson Distribution.

Details

Please note the input data can be a single value, a vector or a matrix. If it is a matrix, the default format is N row by M column. Each row represents for one gene, and each column represents for one bin.

Value

After VST transformation, the return data matrix would follow Normal Distribution with a constant variance 1

References

Qian Wu, Kyoung-Jae Won and Hongzhe Li. (2015) Nonparametric Methods for Identifying Differential Enrichment Regions with ChIP-seq Data. Cancer Informatics,14 (Suppl 1), 11-22

Examples

data(data1)
Data1=NormTransformation(data1)

ChIPtest documentation built on May 2, 2019, 3:37 p.m.