View source: R/kinaseSubstratePrediction.R
siteAnnotate | R Documentation |
This function plots the combined scores of each of all kinases for a given phosphosites
siteAnnotate(site, phosScoringMatrices, predMatrix)
site |
site the ID of a phosphosite |
phosScoringMatrices |
output from function kinaseSubstrateScore() |
predMatrix |
a prediction matrix from kinaseSubstratePred() |
A graphical plot
data('phospho_L6_ratio_pe')
data('SPSs')
data('PhosphoSitePlus')
ppe <- phospho.L6.ratio.pe
sites = paste(sapply(GeneSymbol(ppe), function(x)x),";",
sapply(Residue(ppe), function(x)x),
sapply(Site(ppe), function(x)x),
";", sep = "")
grps = gsub("_.+", "", colnames(ppe))
design = model.matrix(~ grps - 1)
ctl = which(sites %in% SPSs)
ppe = RUVphospho(ppe, M = design, k = 3, ctl = ctl)
phosphoL6 = SummarizedExperiment::assay(ppe, "normalised")
# filter for up-regulated phosphosites
phosphoL6.mean <- meanAbundance(phosphoL6, grps = grps)
aov <- matANOVA(mat=phosphoL6, grps = grps)
idx <- (aov < 0.05) & (rowSums(phosphoL6.mean > 0.5) > 0)
phosphoL6.reg <- phosphoL6[idx, ,drop = FALSE]
L6.phos.std <- standardise(phosphoL6.reg)
rownames(L6.phos.std) <- paste0(GeneSymbol(ppe), ";", Residue(ppe),
Site(ppe), ";")[idx]
L6.phos.seq <- Sequence(ppe)[idx]
L6.matrices <- kinaseSubstrateScore(PhosphoSite.mouse, L6.phos.std,
L6.phos.seq, numMotif = 5, numSub = 1)
set.seed(1)
L6.predMat <- kinaseSubstratePred(L6.matrices, top=30)
dev.off()
# We will look at the phosphosite AAK1;S677 for demonstration purpose.
site = "AAK1;S677;"
siteAnnotate(site, L6.matrices, L6.predMat)
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