Package: MALDIcellassay 0.4.47.9000
MALDIcellassay: Automated MALDI Cell Assays Using Dose-Response Curve Fitting
Conduct automated cell-based assays using Matrix-Assisted Laser Desorption/Ionization (MALDI) methods for high-throughput screening of signals responsive to treatments. The package efficiently identifies high variance signals and fits dose-response curves to them. Quality metrics such as Z', V', log2 Fold-Change, and Curve response score (CRS) are provided for evaluating the potential of signals as biomarkers. The methodologies were introduced by Weigt et al. (2018) <doi:10.1038/s41598-018-29677-z> and refined by Unger et al. (2021) <doi:10.1038/s41596-021-00624-z>.
Authors:
MALDIcellassay_0.4.47.9000.tar.gz
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MALDIcellassay.pdf |MALDIcellassay.html✨
MALDIcellassay/json (API)
NEWS
# Install 'MALDIcellassay' in R: |
install.packages('MALDIcellassay', repos = c('https://cemos-mannheim.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cemos-mannheim/maldicellassay/issues
- Blank2022intmat - Example intensity matrix from Blank 2022
- Blank2022peaks - Example peaks from Blank 2022
- Blank2022res - Example MALDIassay object from Blank 2022
- Blank2022spec - Example spectra from Blank 2022
cell-based-assayconcentration-response-analysismaldi-tof-msmass-spectrometryuntargeted-metabolomics
Last updated 15 days agofrom:4d64382155. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 22 2024 |
R-4.5-win | OK | Oct 22 2024 |
R-4.5-linux | OK | Oct 22 2024 |
R-4.4-win | OK | Oct 22 2024 |
R-4.4-mac | OK | Oct 22 2024 |
R-4.3-win | OK | Oct 22 2024 |
R-4.3-mac | OK | Oct 22 2024 |
Exports:calculateChauvenetCriterioncalculateCurveFitcalculateSSMDcalculateVPrimecalculateZPrimecheckRecalibrationextractIntensityextractSpotsfilterVariancefitCurvegetAllMzgetAppliedMzShiftgetAppliedNormFactorsgetAvgPeaksgetAvgSpectragetBinTolgetConcgetCurveFitsgetFittingParametersgetIntensityMatrixgetMzFromMzIdxgetMzShiftgetNormFactorsgetNormMethodgetNormMzgetNormMzTolgetPeakStatisticsgetRecalibrationErrorgetSinglePeaksgetSingleSpecIntensitygetSNRgetSpotsgetVarFilterMethodisMALDIassayloadSpectraloadSpectraMzMLnormalizenormalizeByFactorpeaks2dfplotCurvesplotPeakshiftMassAxistransformConc2Log
Dependencies:base64encclicolorspacecpp11digestdplyrfansifarverforcatsgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMALDIquantMALDIquantForeignMASSMatrixmgcvmunsellnlmenplrpillarpkgconfigpurrrR6RColorBrewerreadBrukerFlexDatareadMzXmlDatarlangscalesstringistringrsvMisctibbletidyrtidyselectutf8vctrsviridisLitewithrXML