peptideData

<p>A dataset containing data on around 1,000 peptides from the cross-lab study of Collins et al (2017), originally published in Nature Communications. The data consists of a data.frame named <code>peptideData</code>, and a character vector sisPeptides, listing the peptides that should be analysed.</p>

datasets

Variations of Remove Unwanted Variation-III (RUV-III) known as RUV-III-C (RUV-III Complete). RUV-III performs normalisation using negative control variables and replication. RUV-III-C extends this method to cases where the data contains missing values, by applying RUV-III to complete subsets of the data. Originally designed for SWATH-MS proteomics datasets.
Poulos et al. (2020) <doi:10.1038/s41467-020-17641-3>.

Rohan Shah

RUVIIIC

RUV-III-C

Sean Peters

Qing Zhong

Children's Medical Research Institute 

peptideData function

<p>A data.frame containing data on around 1,000 peptides, with peptides that were not detected in a mass-spectrometry acquisition coded as NA. All columns are peptides, except for <code>filename</code>, <code>site</code>, <code>mixture</code>, <code>grouping</code> and <code>Date</code>. The peptides include around 1,000 background peptides, and the stable isotope-labelled standard (SIS) peptides which have intensities that change across mass-spectrometry acquisitions.</p>

Format

Peptide data from the cross-lab study of Collins et al (2017) — peptideData

Peptide data from the cross-lab study of Collins et al (2017)

peptideData: Peptide data from the cross-lab study of Collins et al (2017)

Description

Usage

Arguments

Format