pqn: Probabilistic Quotient Normaliation

In Rundmus/BAf-R_package: Binder Array data hanlding package in facility

Description

Normalize the data applying Probabilistic Quotient method introduced in Dieterle et al.(2006).

Usage

pqn(X, preNorm = FALSE, ...)

## S4 method for signature 'BAf'
pqn(X, preNorm = FALSE, by_s = NULL, by_b = NULL, ...)

Arguments

X	a matrix or a BAf-class object
preNorm	if the integral normalization should be applied prior to the PQN. Please refer to the Dieterle et al.'s paper.
...	not used
by_s, by_b	same as by_s and by_s in apply_per_group. If any of these are given the pqn is applied per group divided by these variables.

Value

matrix (or BAf-class object) after the normalization

Author(s)

Mun-Gwan Hong <[e-mail]>

References

Dieterle et al. (2006) Probabilistic quotient normalization.. - Anal.Chem

See Also

apply_per_group normn_MA

Examples

data(sba)
sba2 <- pqn(sba[sba@sinfo$cohort != "EMPTY", ])
plot_QC_sample_signal_boxplot(sba2)

Rundmus/BAf-R_package documentation built on May 18, 2020, 12:59 p.m.