olink_bridgeselector {OlinkAnalyze}R Documentation

Bridge selection function

Description

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)

Arguments

df

Tibble/data frame in long format such as produced by the Olink Analyze read_NPX function.

sampleMissingFreq

The threshold for sample wise missingness.

n

Number of bridge samples to be selected.

Value

A "tibble" with sample IDs and mean NPX for a defined number of bridging samples. Columns include:

Examples

bridge_samples <- olink_bridgeselector(npx_data1, sampleMissingFreq = 0.1, n = 20)

[Package OlinkAnalyze version 3.8.2 Index]