The bridge selection function will select a number of bridge samples based on the input data. It selects samples with
good detection, which passes QC and cover a good range of the data. If possible, Olink recommends 8-16 bridge samples.
When running the selector, Olink recommends starting at sampleMissingFreq = 0.10 which represents a maximum of 10\
data below LOD per sample. If there are not enough samples output, increase to 20\
The function accepts NPX Excel files with data < LOD replaced.
Usage
olink_bridgeselector(df, sampleMissingFreq, n)
Value
A "tibble" with sample IDs and mean NPX for a defined number of bridging samples. Columns include:
SampleID: Sample ID
PercAssaysBelowLOD: Percent of Assays that are below LOD for the sample
MeanNPX: Mean NPX for the sample
Arguments
df
Tibble/data frame in long format such as produced by the Olink Analyze read_NPX function.