MSProcessedImagingExperiment: Dense mass spectrometry imaging experiments

Description

The MSProcessedImagingExperiment class is a simple extension of MSImagingExperiment for sparse spectra. All methods for that class apply. In addition, each data element must be stored as a column-major sparse_mat.

Methods

All methods for ImagingExperiment and SparseImagingExperiment also work on MSProcessedImagingExperiment objects. Additional methods are documented below:

mzData(object), mzData(object) <- value:

Get or set the underlying (pre-binned) m/z values associated with the sparse mass spectra.

peakData(object), peakData(object) <- value:

Get or set the underlying (pre-binned) intensity values associated with the sparse mass spectra.

tolerance(object), tolerance(object) <- value:

Get or set the binning tolerance for sparse spectra or peaks.

combiner(object), combiner(object) <- value:

Get or set the binning function for sparse spectra or peaks.

Author(s)

Kylie A. Bemis

See Also

MSImagingExperiment, MSContinuousImagingExperiment