normalize_random {nanostringr} | R Documentation |
Normalize data using random reference samples
Description
Normalize nanostring gene expression using randomly chosen samples for the reference-based approach for batch adjustment.
Usage
normalize_random(x, ref, n = 1, strata = NULL, seed = NULL)
Arguments
x |
target data |
ref |
reference data |
n |
number of random reference samples to select for normalization |
strata |
a grouping variable for stratified random sampling. If |
seed |
random seed for reproducibility |
Details
The number of randomly chosen numbers can be selected, and optionally a
strata
can be specified such that n
reference samples are selected from
each level (like a stratified bootstrap). In relation to the reference
method, the random samples removed from ref
form R1
, the random samples
removed from x
form R2
, and the remaining samples from x
form Y
. See
refMethod()
for details.
In subsequent analyses, we refer to a method using normalize_random(n)
as
the "Random n" method.
Value
normalized gene expression
Author(s)
Derek Chiu