fitCurve | R Documentation |
Fit dose-response curves
fitCurve(
spec,
unit = c("M", "mM", "uM", "nM", "pM", "fM"),
varFilterMethod = c("mean", "median", "q25", "q75", "none"),
monoisotopicFilter = FALSE,
averageMethod = c("mean", "median", "sum"),
normMz = NULL,
normTol = 0.1,
alignTol = 0.01,
binTol = 2e-04,
SNR = 3,
halfWindowSize = 3,
allowNoMatches = TRUE,
normMeth = c("mz", "TIC", "median", "none"),
SinglePointRecal = TRUE,
verbose = TRUE
)
spec |
List of MALDIquant::MassSpectrum |
unit |
Character, unit of concentration. Used to calculate the concentration in Moles so that pIC50 is correct. Set to "M" if you dont want changes in your concentrations. |
varFilterMethod |
Character, function applied for high variance filtering. One of the following options |
monoisotopicFilter |
Logical, filter peaks and just use monoisotopic peaks for curve fit. |
averageMethod |
Character, aggregation method for average mass spectra ("mean" or "median") |
normMz |
Numeric, mz used for normalization AND for single point recalibration. |
normTol |
Numeric, tolerance in Dalton to match normMz |
alignTol |
Numeric, tolerance for spectral alignment in Dalton. |
binTol |
Numeric, tolerance for binning of peaks. |
SNR |
Numeric, signal to noise ratio for peak detection. |
halfWindowSize |
2ction. See |
allowNoMatches |
Logical, if normMz can not be found in a spectrum, proceed and exclude spectrum or stop |
normMeth |
Character, normalization method. Can either be "TIC", "median" or "mz". If "mz" then the normMz is used. If none no normalization is done. |
SinglePointRecal |
Logical, perform single point recalibration to normMz |
verbose |
Logical, print logs to console. |
Object of class MALDIassay
.
The most important slot is fits
which contains the IC50 curve fits.
data(Blank2022spec)
fitCurve(spec = Blank2022spec,
SinglePointRecal = TRUE,
normMz = 760.585,
alignTol = 0.1,
normTol = 0.1,
varFilterMethod = "mean")
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