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MSstatsLOBD

Assay characterization: estimation of limit of blanc(LoB) and limit of detection(LOD)

Bioconductor version: 3.23 · Package version: 1.20.0

The MSstatsLOBD package allows calculation and visualization of limit of blac (LOB) and limit of detection (LOD). We define the LOB as the highest apparent concentration of a peptide expected when replicates of a blank sample containing no peptides are measured. The LOD is defined as the measured concentration value for which the probability of falsely claiming the absence of a peptide in the sample is 0.05, given a probability 0.05 of falsely claiming its presence. These functionalities were previously a part of the MSstats package. The methodology is described in Galitzine (2018) <doi:10.1074/mcp.RA117.000322>.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MSstatsLOBD")

Details

MaintainerDevon Kohler <kohler.d@northeastern.edu>
AuthorDevon Kohler [aut, cre], Mateusz Staniak [aut], Cyril Galitzine [aut], Meena Choi [aut], Olga Vitek [aut]
LicenseArtistic-2.0
Bug Reportshttps://github.com/Vitek-Lab/MSstatsLODQ/issues
Downloads rank186
Source branchRELEASE_3_23
biocViewsDifferentialExpression, ImmunoOncology, MassSpectrometry, Normalization, OneChannel, Proteomics, QualityControl, Software, TwoChannel

Documentation

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Dependencies

Depends: R (>= 4.0)

Imports: minpack.lm, ggplot2, utils, stats, grDevices

LinkingTo: Rcpp

Suggests: BiocStyle, knitr, rmarkdown, covr, tinytest, dplyr