abspqn: Antibody Specific Probabilistic Quotient Normaliation

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

Description

Normalize the data applying a variation of Probabilistic Quotient method introduced in Dieterle et al.(2006), called AbsPQN.

Usage

abspqn(X, ...)

## S4 method for signature 'matrix'
abspqn(X, ...)

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

Arguments

X	a matrix or a BAf-class object
...	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 norm_PQN

Examples

data(sba)
sba2 <- abspqn(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.