View source: R/normalize_random.R

normalize_random | R Documentation |

Normalize nanostring gene expression using randomly chosen samples for the reference-based approach for batch adjustment.

normalize_random(x, ref, n = 1, strata = NULL, seed = NULL)

`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 |

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.

normalized gene expression

Derek Chiu

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