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spqrp  

Sample Provenance Quality Resolver in Proteomics
View on CRAN: Click here


Download and install spqrp package within the R console
Install from CRAN:
install.packages("spqrp")

Install from Github:
library("remotes")
install_github("cran/spqrp")

Install by package version:
library("remotes")
install_version("spqrp", "0.1.0")



Attach the package and use:
library("spqrp")
Maintained by
Franziska Hradilak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-17
Latest Update: 2026-06-17
Description:
Detect sample-provenance inconsistencies and potential mix-ups in mass-spectrometry-based plasma-proteome cohorts. Provides a clustering-based approach (build a nearest-neighbour graph in a dimensionality-reduced space and iteratively split large components by edge weight), a threshold-based approach (classify sample pairs as belonging or not-belonging from a pairwise distance cutoff), parameter optimization over distance metrics and cutoffs, and a pairwise random-forest classifier for protein importance ranking. This is a native R port of the author's Python package 'spqrp' (<https://github.com/fhradilak/spqrp>), implementing methods from an associated manuscript currently in preparation.
How to cite:
Franziska Hradilak (2026). spqrp: Sample Provenance Quality Resolver in Proteomics. R package version 0.1.0, https://cran.r-project.org/web/packages/spqrp. Accessed 03 Oct. 2026.
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