msiSlices | R Documentation |
This function turns a mass spectrometry imaging dataset represented by a
list
of AbstractMassObject
objects into an
intensityMatrix
for each slice (stored in an
array
).
msiSlices(x, center, tolerance, method=c("sum", "mean", "median"), adjust=TRUE)
x |
a |
center |
|
tolerance |
|
method |
used aggregation function. |
adjust |
|
Each MassSpectrum
/MassPeaks
object in
x
must contain a list
named imaging
with an element
pos
that stores the x
and y
value of the spectrum, e.g.:
> metaData(spectra[[1]])$imaging$pos x y 1 5
Returns an array
of three dimensions. The first and second
dimensions contains the x and y coordinates of the image. The third dimension
represents the index of the center
of each slice. There are two
additional attributes, namely "center"
and "tolerance"
which store
the original center
and tolerance
information.
Sebastian Gibb mail@sebastiangibb.de
AbstractMassObject
,
MassSpectrum
,
MassPeaks
,
coordinates,AbstractMassObject-method
,
plotMsiSlice,list-method
Please find real examples on:
Website: https://strimmerlab.github.io/software/maldiquant/
Vignette: https://github.com/sgibb/MALDIquantExamples/raw/master/inst/doc/nyakas2013.pdf
Shiny: https://github.com/sgibb/ims-shiny/
## load package
library("MALDIquant")
## load example data
data("fiedler2009subset", package="MALDIquant")
## please note: this is NOT a MSI data set
## we just add some coordinates for demonstration
coordinates(fiedler2009subset) <- cbind(x=rep(1:4, 2), y=rep(1:2, each=4))
slices <- msiSlices(fiedler2009subset, center=c(5864.49, 8936.97),
tolerance=0.25)
slices
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