z.norm: Z-score normalization

Description Usage Arguments Value Author(s)

View source: R/z.norm.R

Description

The Z-score is normalized to ensure centered distribution and similar variance across different GC classes. This is usually not necessary when the quality is comparable across the samples. However if some samples contain experiment-specific biases this approach can reduce false calls.

Usage

1
z.norm(z.df, gc.df, class.size = 5000)

Arguments

z.df

a data.frame with the Z-scores.

gc.df

a data.frame with the GC content.

class.size

the number of bins in each GC classes. Default is 5000.

Value

a vector with the normalized Z-scores.

Author(s)

Jean Monlong


jmonlong/PopSV documentation built on Sept. 1, 2018, 12:04 p.m.