Package: MSstatsLOBD 1.13.0
Devon Kohler
MSstatsLOBD: Assay characterization: estimation of limit of blanc(LoB) and limit of detection(LOD)
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>.
Authors:
MSstatsLOBD_1.13.0.tar.gz
MSstatsLOBD_1.13.0.zip(r-4.5)MSstatsLOBD_1.13.0.zip(r-4.4)MSstatsLOBD_1.13.0.zip(r-4.3)
MSstatsLOBD_1.13.0.tgz(r-4.4-any)MSstatsLOBD_1.13.0.tgz(r-4.3-any)
MSstatsLOBD_1.13.0.tar.gz(r-4.5-noble)MSstatsLOBD_1.13.0.tar.gz(r-4.4-noble)
MSstatsLOBD_1.13.0.tgz(r-4.4-emscripten)MSstatsLOBD_1.13.0.tgz(r-4.3-emscripten)
MSstatsLOBD.pdf |MSstatsLOBD.html✨
MSstatsLOBD/json (API)
| # Install 'MSstatsLOBD' in R: |
| install.packages('MSstatsLOBD', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vitek-lab/msstatslodq/issues
- raw_data - Example of dataset that contains spike in data for 43 distinct peptides.
- spikeindata - Example of normalized datasets from raw_data,
On BioConductor:MSstatsLOBD-1.13.0(bioc 3.20)MSstatsLOBD-1.12.0(bioc 3.19)
Last updated 2 months agofrom:2582c17ad2
Exports:linear_quantlimnonlinear_quantlimplot_quantlim
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvminpack.lmmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculation of the LOB and LOD with a linear fit | linear_quantlim |
| Calculation of the LOB and LOD with a nonlinear fit | nonlinear_quantlim |
| Plot results of nonlinear_quantlim() and linear_quantlim() | plot_quantlim |
| Example of dataset that contains spike in data for 43 distinct peptides. | raw_data |
| Example of normalized datasets from raw_data, | spikeindata |
