NormTransformation {ChIPtest} | R Documentation |
Variance-stabilizing transformation (VST) procedure
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)
[Package ChIPtest version 1.0 Index]