Nothing
## ----setParametersEx, eval = TRUE---------------------------------------------
library(Doscheda)
channelNames <- c("Abundance..F1..126..Control..REP_1",
"Abundance..F1..127..Sample..REP_1", "Abundance..F1..128..Sample..REP_1",
"Abundance..F1..129..Sample..REP_1", "Abundance..F1..130..Sample..REP_1",
"Abundance..F1..131..Sample..REP_1", "Abundance..F2..126..Control..REP_2",
"Abundance..F2..127..Sample..REP_2", "Abundance..F2..128..Sample..REP_2",
"Abundance..F2..129..Sample..REP_2", "Abundance..F2..130..Sample..REP_2",
"Abundance..F2..131..Sample..REP_2")
ex <- new('ChemoProtSet')
ex<- setParameters(x = ex,chansVal = 6, repsVal = 2,
dataTypeStr = 'intensity', modelTypeStr = 'linear',
PDBool = FALSE,removePepsBool = FALSE,incPDofPDBool = FALSE,
incGeneFileBool = FALSE,organismStr = 'H.sapiens',
pearsonThrshVal = 0.4)
## ----setDataEx, eval = TRUE---------------------------------------------------
ex<- setData(x = ex, dataFrame = Doscheda::doschedaData,
dataChannels = channelNames,
accessionChannel = "Master.Protein.Accessions",
sequenceChannel = 'Sequence',
qualityChannel = "Qvality.PEP" )
## ----peptideRemovalExample, eval = TRUE---------------------------------------
ex <- removePeptides(ex,removePeps = FALSE)
## ----fitModelEx, eval = TRUE, include=FALSE-----------------------------------
ex<- runNormalisation(ex)
ex <- fitModel(ex)
## ----runDosEx, eval = FALSE---------------------------------------------------
#
# channelNames <- c("Abundance..F1..126..Control..REP_1",
# "Abundance..F1..127..Sample..REP_1", "Abundance..F1..128..Sample..REP_1",
# "Abundance..F1..129..Sample..REP_1", "Abundance..F1..130..Sample..REP_1",
# "Abundance..F1..131..Sample..REP_1", "Abundance..F2..126..Control..REP_2",
# "Abundance..F2..127..Sample..REP_2", "Abundance..F2..128..Sample..REP_2",
# "Abundance..F2..129..Sample..REP_2", "Abundance..F2..130..Sample..REP_2",
# "Abundance..F2..131..Sample..REP_2")
#
# ex <- runDoscheda(dataFrame = doschedaData, dataChannels = channelNames,
# chansVal = 6, repsVal = 2,dataTypeStr = 'intensity',
# modelTypeStr = 'linear',PDBool = FALSE,removePepsBool = FALSE,
# accessionChannel = "Master.Protein.Accessions",
# sequenceChannel = 'Sequence',qualityChannel = "Qvality.PEP",
# incPDofPDBool = FALSE, incGeneFileBool = FALSE,
# organismStr = 'H.sapiens', pearsonThrshVal = 0.4)
#
# runDoscheda()
#
## ----plot1--------------------------------------------------------------------
plot(ex)
## ----boxPlot------------------------------------------------------------------
boxplot(ex)
## ----corrplot-----------------------------------------------------------------
corrPlot(ex)
## ----pcaplot------------------------------------------------------------------
pcaPlot(ex)
## ----repplot------------------------------------------------------------------
replicatePlot(ex,conc = 0, repIndex1 = 1, repIndex2 = 2)
## ----colcanolot---------------------------------------------------------------
volcanoPlot(ex)
## ----meanolcanolot------------------------------------------------------------
meanSdPlot(ex)
## ----exampleR, eval = FALSE---------------------------------------------------
# channelNames <- c("Abundance..F1..126..Control..REP_1",
# "Abundance..F1..127..Sample..REP_1", "Abundance..F1..128..Sample..REP_1",
# "Abundance..F1..129..Sample..REP_1", "Abundance..F1..130..Sample..REP_1",
# "Abundance..F1..131..Sample..REP_1", "Abundance..F2..126..Control..REP_2",
# "Abundance..F2..127..Sample..REP_2", "Abundance..F2..128..Sample..REP_2",
# "Abundance..F2..129..Sample..REP_2", "Abundance..F2..130..Sample..REP_2",
# "Abundance..F2..131..Sample..REP_2")
# ex <- new('ChemoProtSet')
# ex<- setParameters(x = ex,chansVal = 6, repsVal = 2,dataTypeStr = 'intensity',
# modelTypeStr = 'linear',PDBool = FALSE,removePepsBool = FALSE,
# incPDofPDBool = FALSE,incGeneFileBool = FALSE,organismStr = 'H.sapiens', pearsonThrshVal = 0.4)
# ex<- setData(x = ex, dataFrame = doschedaData, dataChannels = channelNames,
# accessionChannel = "Master.Protein.Accessions",
# sequenceChannel = 'Sequence', qualityChannel = "Qvality.PEP" )
# ex <- removePeptides(ex,removePeps = FALSE)
# ex <- runNormalisation(ex)
# ex <- fitModel(ex)
# ex
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