| NormTransformation {ChIPtest} | R Documentation |
Assume observed data approximately follow Poisson Distribution. Apply VST procedure to transform the data as approximate normal with constant variance of 1
NormTransformation(data)
data |
Input ChIP-seq data (counts), which approximately follow Poisson Distribution. |
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.
After VST transformation, the return data matrix would follow Normal Distribution with a constant variance 1
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
data(data1) Data1=NormTransformation(data1)