Man pages for cammiller/imagingPC
Analysis of Imaging Mass Spectrometry Data using a Process Convolution Approach

assignIDsAssign ID numbers to samples
chooseStructuresChoose support structure(s)
createAUCDataCalculate the area under the curve (AUC) across m/z values on...
createPCDataCreate the information for running models
estRangeEstimate the range parameter
mergeIMSFilesMerge spot-level data and region spots from SCiLS
plotIDsPlot the assigned ID numbers
plot.PCResultsPlot the MCMC iterations for each model coefficient.
plotPCStructureOverlay the tissue samples with corresponding support...
plot.rangeListPlot the semivariance estimates overlaid with the covariance...
plotRangeObjPlot a range object.
rScaleRescale the data
runPCModelRun the model
summary.PCResultsSummarize PCResults object
summary.rangeListSummarize rangeList object
summary.structureListSummarize structureList object
TAMdataN-glycan abundance measures in primary mammary and secondary...
writePCModelWrite the model
cammiller/imagingPC documentation built on June 28, 2019, 12:04 a.m.