Description Usage Arguments Value Author(s) Examples
View source: R/srcLineagePulse_getFits.R
Return mean model fits per gene and cell as matrix for chosen model.
1 | getFitsMean(lsMuModel, vecGeneIDs = NULL)
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lsMuModel |
(list) Object containing description of gene-wise mean parameter models. |
vecGeneIDs |
(vector of strings) Gene IDs for which mean model fits are to be extracted. |
(numeric matrix genes x cells) Mean parameter fits.
David Sebastian Fischer
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | lsSimulatedData <- simulateContinuousDataSet(
scaNCells = 20,
scaNConst = 2,
scaNLin = 2,
scaNImp = 2,
scaMumax = 100,
scaSDMuAmplitude = 3,
vecNormConstExternal=NULL,
vecDispExternal=rep(20, 6),
vecGeneWiseDropoutRates = rep(0.1, 6))
objLP <- runLineagePulse(
counts = lsSimulatedData$counts,
dfAnnotation = lsSimulatedData$annot,
strMuModel = "impulse")
# Get mean parameter fits on alternative model:
# Use H1 model fits.
vecMeanFits <- getFitsMean(
lsMuModel = lsMuModelH1(objLP),
vecGeneIDs = rownames(lsSimulatedData$counts)[1])
#plot(lsSimulatedData$annot$continuous, vecMeanFits)
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