A B C D E F G H I K L M N O P R S T V misc
Cardinal-package | Mass spectrometry imaging tools |
abstract-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
alpha.colors | Color Palettes for Imaging |
annotatedDataFrameFrom-method | Class Containing Arrays of Imaging Data |
baselineReduction | Class Containing Mass Spectral Pre-Processing Information |
baselineReduction-method | Class Containing Mass Spectral Pre-Processing Information |
baselineReduction<- | Class Containing Mass Spectral Pre-Processing Information |
baselineReduction<--method | Class Containing Mass Spectral Pre-Processing Information |
batchProcess | Batch Pre-Processing on an Imaging Dataset |
batchProcess-method | Batch Pre-Processing on an Imaging Dataset |
batchProcess-methods | Batch Pre-Processing on an Imaging Dataset |
Binmat | On-Disk Matrix Class Using On-Demand Disk Reads |
Binmat-class | On-Disk Matrix Class Using On-Demand Disk Reads |
Cardinal | Mass spectrometry imaging tools |
cbind-method | On-Disk Matrix Class Using On-Demand Disk Reads |
cbind-method | Sparse Matrix Class Using Lists as Hash Tables |
centroided | Class Containing Mass Spectral Pre-Processing Information |
centroided-method | Class Containing Mass Spectral Pre-Processing Information |
centroided-method | Class to Contain Mass Spectrometry Imaging Experiment Data |
centroided<- | Class Containing Mass Spectral Pre-Processing Information |
centroided<--method | Class Containing Mass Spectral Pre-Processing Information |
centroided<--method | Class to Contain Mass Spectrometry Imaging Experiment Data |
class:Binmat | On-Disk Matrix Class Using On-Demand Disk Reads |
class:Hashmat | Sparse Matrix Class Using Lists as Hash Tables |
class:IAnnotatedDataFrame | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
class:ImageData | Class Containing Arrays of Imaging Data |
class:iSet | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
class:MIAPE-Imaging | Class for Storing Mass Spectrometry Imaging Experiment Information |
class:MSImageData | Class Containing Mass Spectrometry Image Data |
class:MSImageProcess | Class Containing Mass Spectral Pre-Processing Information |
class:MSImageSet | Class to Contain Mass Spectrometry Imaging Experiment Data |
class:OPLS | Orthogonal Partial Least Squares |
class:PCA | Principal Components Analysis |
class:PLS | Partial Least Squares |
class:ResultSet | Class to Contain Analysis Results for Imaging Experiments |
class:SImageData | Class Containing Sparse Image Data |
class:SImageSet | Class to Contain Pixel-Sparse Imaging Data |
class:SpatialKMeans | Spatially-Aware K-Means Clustering |
class:SpatialShrunkenCentroids | Spatially-Aware Shrunken Centroid Clustering and Classification |
colnames-method | On-Disk Matrix Class Using On-Demand Disk Reads |
colnames-method | Sparse Matrix Class Using Lists as Hash Tables |
colnames<--method | On-Disk Matrix Class Using On-Demand Disk Reads |
colnames<--method | Sparse Matrix Class Using Lists as Hash Tables |
combine-method | Sparse Matrix Class Using Lists as Hash Tables |
combine-method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
combine-method | Class Containing Arrays of Imaging Data |
combine-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
combine-method | Class Containing Mass Spectral Pre-Processing Information |
combine-method | Class to Contain Mass Spectrometry Imaging Experiment Data |
combine-method | Class Containing Sparse Image Data |
combine-method | Class to Contain Pixel-Sparse Imaging Data |
combine-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
coord | Retrieve Pixel Coordinates from iSets |
coord-method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
coord-method | Class Containing Sparse Image Data |
coord-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
coord-methods | Retrieve Pixel Coordinates from iSets |
coord<- | Retrieve Pixel Coordinates from iSets |
coord<--method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
coord<--method | Class Containing Sparse Image Data |
coord<--method | Class to Contain Pixel-Sparse Imaging Data |
coord<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
coordinates | Retrieve Pixel Coordinates from iSets |
coordinates-methods | Retrieve Pixel Coordinates from iSets |
coordinates<- | Retrieve Pixel Coordinates from iSets |
coordLabels | Retrieve Pixel Coordinates from iSets |
coordLabels-method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
coordLabels-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
coordLabels-methods | Retrieve Pixel Coordinates from iSets |
coordLabels<- | Retrieve Pixel Coordinates from iSets |
coordLabels<--method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
coordLabels<--method | Class to Contain Pixel-Sparse Imaging Data |
coordLabels<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
coregister | Coregister Images |
coregister-method | Coregister Images |
coregister-methods | Coregister Images |
cvApply | Apply Cross-Validated Analysis to Imaging Datasets |
cvApply-method | Apply Cross-Validated Analysis to Imaging Datasets |
cvApply-methods | Apply Cross-Validated Analysis to Imaging Datasets |
dim-method | On-Disk Matrix Class Using On-Demand Disk Reads |
dim-method | Sparse Matrix Class Using Lists as Hash Tables |
dim-method | Class Containing Arrays of Imaging Data |
dim-method | Class Containing Sparse Image Data |
dim-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
dim<--method | On-Disk Matrix Class Using On-Demand Disk Reads |
dim<--method | Sparse Matrix Class Using Lists as Hash Tables |
dimnames-method | On-Disk Matrix Class Using On-Demand Disk Reads |
dimnames-method | Sparse Matrix Class Using Lists as Hash Tables |
dimnames<--method | On-Disk Matrix Class Using On-Demand Disk Reads |
dimnames<--method | Sparse Matrix Class Using Lists as Hash Tables |
dims-method | Class Containing Arrays of Imaging Data |
dims-method | Class Containing Sparse Image Data |
dims-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
embeddingMethod | Class for Storing Mass Spectrometry Imaging Experiment Information |
embeddingMethod-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
embeddingMethod<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
embeddingMethod<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
experimentData-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
experimentData<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
expinfo-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
fData-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
fData<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
featureApply | Apply Functions over Imaging Datasets |
featureApply-method | Apply Functions over Imaging Datasets |
featureApply-methods | Apply Functions over Imaging Datasets |
featureData-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
featureData<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
featureNames-method | Class Containing Sparse Image Data |
featureNames-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
featureNames<--method | Class Containing Sparse Image Data |
featureNames<--method | Class to Contain Pixel-Sparse Imaging Data |
featureNames<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
features | Retrieve Pixel or Feature Indices Based on Metadata |
features-method | Retrieve Pixel or Feature Indices Based on Metadata |
features-methods | Retrieve Pixel or Feature Indices Based on Metadata |
files | Class Containing Mass Spectral Pre-Processing Information |
files-method | Class Containing Mass Spectral Pre-Processing Information |
files<- | Class Containing Mass Spectral Pre-Processing Information |
files<--method | Class Containing Mass Spectral Pre-Processing Information |
fvarLabels-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
fvarLabels<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
fvarMetadata-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
fvarMetadata<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
generateImage | Generate a Simulated Image |
generateSpectrum | Generate a Simulated Spectrum |
gradient.colors | Color Palettes for Imaging |
Hashmat | Sparse Matrix Class Using Lists as Hash Tables |
Hashmat-class | Sparse Matrix Class Using Lists as Hash Tables |
IAnnotatedDataFrame | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
IAnnotatedDataFrame-class | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
iData | Retrieve Image Data from iSets |
iData-method | Class Containing Sparse Image Data |
iData-method | Class to Contain Pixel-Sparse Imaging Data |
iData-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
iData-methods | Retrieve Image Data from iSets |
iData<- | Retrieve Image Data from iSets |
iData<--method | Class Containing Sparse Image Data |
iData<--method | Class to Contain Pixel-Sparse Imaging Data |
iData<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
image | Plot the Pixel-Space of an Imaging Dataset |
image-method | Plot the Pixel-Space of an Imaging Dataset |
image-methods | Plot the Pixel-Space of an Imaging Dataset |
image3D | Plot the Pixel-Space of an Imaging Dataset |
image3D-method | Plot the Pixel-Space of an Imaging Dataset |
image3D-methods | Plot the Pixel-Space of an Imaging Dataset |
ImageData | Class Containing Arrays of Imaging Data |
imageData | Retrieve Image Data from iSets |
ImageData-class | Class Containing Arrays of Imaging Data |
imageData-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
imageData-methods | Retrieve Image Data from iSets |
imageData<- | Retrieve Image Data from iSets |
imageData<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
imageShape | Class for Storing Mass Spectrometry Imaging Experiment Information |
imageShape-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
imageShape<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
imageShape<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
initialize-method | On-Disk Matrix Class Using On-Demand Disk Reads |
initialize-method | Sparse Matrix Class Using Lists as Hash Tables |
initialize-method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
initialize-method | Class Containing Arrays of Imaging Data |
initialize-method | Class Containing Mass Spectrometry Image Data |
initialize-method | Class Containing Mass Spectral Pre-Processing Information |
initialize-method | Class to Contain Mass Spectrometry Imaging Experiment Data |
initialize-method | Class Containing Sparse Image Data |
initialize-method | Class to Contain Pixel-Sparse Imaging Data |
initialize-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
inSituChemistry | Class for Storing Mass Spectrometry Imaging Experiment Information |
inSituChemistry-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
inSituChemistry<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
inSituChemistry<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
instrumentModel | Class for Storing Mass Spectrometry Imaging Experiment Information |
instrumentModel-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
instrumentModel<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
instrumentModel<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
instrumentVendor | Class for Storing Mass Spectrometry Imaging Experiment Information |
instrumentVendor-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
instrumentVendor<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
instrumentVendor<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
intensity.colors | Color Palettes for Imaging |
ionizationType | Class for Storing Mass Spectrometry Imaging Experiment Information |
ionizationType-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
ionizationType<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
ionizationType<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
iSet | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
iSet-class | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
keys | Sparse Matrix Class Using Lists as Hash Tables |
keys-method | Sparse Matrix Class Using Lists as Hash Tables |
keys<- | Sparse Matrix Class Using Lists as Hash Tables |
keys<--method | Sparse Matrix Class Using Lists as Hash Tables |
length-method | Class to Contain Analysis Results for Imaging Experiments |
lineScanDirection | Class for Storing Mass Spectrometry Imaging Experiment Information |
lineScanDirection-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
lineScanDirection<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
lineScanDirection<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
logLik-method | Spatially-Aware Shrunken Centroid Clustering and Classification |
massAnalyzerType | Class for Storing Mass Spectrometry Imaging Experiment Information |
massAnalyzerType-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
massAnalyzerType<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
massAnalyzerType<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
matrixApplication | Class for Storing Mass Spectrometry Imaging Experiment Information |
matrixApplication-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
matrixApplication<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
matrixApplication<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
MIAPE-Imaging | Class for Storing Mass Spectrometry Imaging Experiment Information |
MIAPE-Imaging-class | Class for Storing Mass Spectrometry Imaging Experiment Information |
modelData | Class to Contain Analysis Results for Imaging Experiments |
modelData-method | Class to Contain Analysis Results for Imaging Experiments |
modelData<- | Class to Contain Analysis Results for Imaging Experiments |
modelData<--method | Class to Contain Analysis Results for Imaging Experiments |
msiInfo | Class for Storing Mass Spectrometry Imaging Experiment Information |
msiInfo-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
MSImageData | Class Containing Mass Spectrometry Image Data |
MSImageData-class | Class Containing Mass Spectrometry Image Data |
MSImageProcess | Class Containing Mass Spectral Pre-Processing Information |
MSImageProcess-class | Class Containing Mass Spectral Pre-Processing Information |
MSImageSet | Class to Contain Mass Spectrometry Imaging Experiment Data |
MSImageSet-class | Class to Contain Mass Spectrometry Imaging Experiment Data |
mz | Retrieve m/z-values from MSImageSets |
mz-method | Class to Contain Mass Spectrometry Imaging Experiment Data |
mz-methods | Retrieve m/z-values from MSImageSets |
mz<- | Retrieve m/z-values from MSImageSets |
mz<--method | Class to Contain Mass Spectrometry Imaging Experiment Data |
mzData | Retrieve Image Data from iSets |
mzData-method | Class Containing Mass Spectrometry Image Data |
mzData-method | Class Containing Sparse Image Data |
mzData-methods | Retrieve Image Data from iSets |
mzData<- | Retrieve Image Data from iSets |
mzData<--method | Class Containing Mass Spectrometry Image Data |
mzData<--method | Class Containing Sparse Image Data |
names-method | Class Containing Arrays of Imaging Data |
names-method | Class to Contain Analysis Results for Imaging Experiments |
names<--method | Class Containing Arrays of Imaging Data |
normalization | Class Containing Mass Spectral Pre-Processing Information |
normalization-method | Class Containing Mass Spectral Pre-Processing Information |
normalization<- | Class Containing Mass Spectral Pre-Processing Information |
normalization<--method | Class Containing Mass Spectral Pre-Processing Information |
normalize | Normalize an Imaging Dataset |
normalize-method | Normalize an Imaging Dataset |
normalize-methods | Normalize an Imaging Dataset |
normalize.tic | Normalize an Imaging Dataset |
notes-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
notes<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
OPLS | Orthogonal Partial Least Squares |
OPLS-class | Orthogonal Partial Least Squares |
OPLS-method | Orthogonal Partial Least Squares |
OPLS-methods | Orthogonal Partial Least Squares |
otherInfo-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
PCA | Principal Components Analysis |
PCA-class | Principal Components Analysis |
PCA-method | Principal Components Analysis |
PCA-methods | Principal Components Analysis |
pData | Retrieve Information on Pixels in iSet-derived Classes |
pData-method | Sparse Matrix Class Using Lists as Hash Tables |
pData-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
pData-methods | Retrieve Information on Pixels in iSet-derived Classes |
pData<- | Retrieve Information on Pixels in iSet-derived Classes |
pData<--method | Sparse Matrix Class Using Lists as Hash Tables |
pData<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
peakAlign | Peak Align an Imaging Dataset |
peakAlign-method | Peak Align an Imaging Dataset |
peakAlign-methods | Peak Align an Imaging Dataset |
peakAlign.diff | Peak Align an Imaging Dataset |
peakAlign.DP | Peak Align an Imaging Dataset |
peakData | Retrieve Image Data from iSets |
peakData-method | Class Containing Mass Spectrometry Image Data |
peakData-method | Class Containing Sparse Image Data |
peakData-methods | Retrieve Image Data from iSets |
peakData<- | Retrieve Image Data from iSets |
peakData<--method | Class Containing Mass Spectrometry Image Data |
peakData<--method | Class Containing Sparse Image Data |
peakFilter | Peak Filter an Imaging Dataset |
peakFilter-method | Peak Filter an Imaging Dataset |
peakFilter-methods | Peak Filter an Imaging Dataset |
peakFilter.freq | Peak Filter an Imaging Dataset |
peakPick | Peak Pick an Imaging Dataset |
peakPick-method | Peak Pick an Imaging Dataset |
peakPick-methods | Peak Pick an Imaging Dataset |
peakPick.adaptive | Peak Pick an Imaging Dataset |
peakPick.limpic | Peak Pick an Imaging Dataset |
peakPick.simple | Peak Pick an Imaging Dataset |
peakPicking | Class Containing Mass Spectral Pre-Processing Information |
peakPicking-method | Class Containing Mass Spectral Pre-Processing Information |
peakPicking<- | Class Containing Mass Spectral Pre-Processing Information |
peakPicking<--method | Class Containing Mass Spectral Pre-Processing Information |
peaks | Retrieve Image Data from iSets |
peaks-method | Class to Contain Mass Spectrometry Imaging Experiment Data |
peaks-methods | Retrieve Image Data from iSets |
peaks<- | Retrieve Image Data from iSets |
peaks<--method | Class to Contain Mass Spectrometry Imaging Experiment Data |
pixelApply | Apply Functions over Imaging Datasets |
pixelApply-method | Apply Functions over Imaging Datasets |
pixelApply-methods | Apply Functions over Imaging Datasets |
pixelData | Retrieve Information on Pixels in iSet-derived Classes |
pixelData-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
pixelData-methods | Retrieve Information on Pixels in iSet-derived Classes |
pixelData<- | Retrieve Information on Pixels in iSet-derived Classes |
pixelData<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
pixelNames | Retrieve Pixel Names from iSets |
pixelNames-method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
pixelNames-method | Class Containing Sparse Image Data |
pixelNames-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
pixelNames-methods | Retrieve Pixel Names from iSets |
pixelNames<- | Retrieve Pixel Names from iSets |
pixelNames<--method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
pixelNames<--method | Class Containing Sparse Image Data |
pixelNames<--method | Class to Contain Pixel-Sparse Imaging Data |
pixelNames<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
pixels | Retrieve Pixel or Feature Indices Based on Metadata |
pixels-method | Retrieve Pixel or Feature Indices Based on Metadata |
pixels-methods | Retrieve Pixel or Feature Indices Based on Metadata |
pixelSize | Class for Storing Mass Spectrometry Imaging Experiment Information |
pixelSize-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
pixelSize<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
pixelSize<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
plot | Plot the Feature-Space of an Imaging Dataset |
plot-method | Plot the Feature-Space of an Imaging Dataset |
plot-methods | Plot the Feature-Space of an Imaging Dataset |
plot.summary.CrossValidated | Apply Cross-Validated Analysis to Imaging Datasets |
plot.summary.OPLS | Orthogonal Partial Least Squares |
plot.summary.PCA | Principal Components Analysis |
plot.summary.PLS | Partial Least Squares |
plot.summary.SpatialKMeans | Spatially-Aware K-Means Clustering |
plot.summary.SpatialShrunkenCentroids | Spatially-Aware Shrunken Centroid Clustering and Classification |
PLS | Partial Least Squares |
PLS-class | Partial Least Squares |
PLS-method | Partial Least Squares |
PLS-methods | Partial Least Squares |
positionArray | Class Containing Sparse Image Data |
positionArray-method | Class Containing Sparse Image Data |
positionArray<- | Class Containing Sparse Image Data |
positionArray<--method | Class Containing Sparse Image Data |
predict-method | Orthogonal Partial Least Squares |
predict-method | Principal Components Analysis |
predict-method | Partial Least Squares |
predict-method | Spatially-Aware Shrunken Centroid Clustering and Classification |
print.summary.CrossValidated | Apply Cross-Validated Analysis to Imaging Datasets |
print.summary.iSet | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
print.summary.OPLS | Orthogonal Partial Least Squares |
print.summary.PCA | Principal Components Analysis |
print.summary.PLS | Partial Least Squares |
print.summary.SpatialKMeans | Spatially-Aware K-Means Clustering |
print.summary.SpatialShrunkenCentroids | Spatially-Aware Shrunken Centroid Clustering and Classification |
processingData | Retrieve Pre-Processing Information from MSImageSets |
processingData-method | Class to Contain Mass Spectrometry Imaging Experiment Data |
processingData-methods | Retrieve Pre-Processing Information from MSImageSets |
processingData<- | Retrieve Pre-Processing Information from MSImageSets |
processingData<--method | Class to Contain Mass Spectrometry Imaging Experiment Data |
prochistory | Class Containing Mass Spectral Pre-Processing Information |
prochistory-method | Class Containing Mass Spectral Pre-Processing Information |
prochistory<- | Class Containing Mass Spectral Pre-Processing Information |
prochistory<--method | Class Containing Mass Spectral Pre-Processing Information |
protocolData-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
protocolData<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
pubMedIds-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
pubMedIds<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
rbind-method | On-Disk Matrix Class Using On-Demand Disk Reads |
rbind-method | Sparse Matrix Class Using Lists as Hash Tables |
readAnalyze | Read Mass Spectrometry Imaging Data Files |
readImzML | Read Mass Spectrometry Imaging Data Files |
readMSIData | Read Mass Spectrometry Imaging Data Files |
reduceBaseline | Reduce the Baseline for an Imaging Dataset |
reduceBaseline-method | Reduce the Baseline for an Imaging Dataset |
reduceBaseline-methods | Reduce the Baseline for an Imaging Dataset |
reduceBaseline.median | Reduce the Baseline for an Imaging Dataset |
reduceDimension | Reduce the Dimension of an Imaging Dataset |
reduceDimension-method | Reduce the Dimension of an Imaging Dataset |
reduceDimension-methods | Reduce the Dimension of an Imaging Dataset |
reduceDimension.bin | Reduce the Dimension of an Imaging Dataset |
reduceDimension.peaks | Reduce the Dimension of an Imaging Dataset |
reduceDimension.resample | Reduce the Dimension of an Imaging Dataset |
regeneratePositions | Class Containing Sparse Image Data |
regeneratePositions-method | Class Containing Sparse Image Data |
regeneratePositions-method | Class to Contain Pixel-Sparse Imaging Data |
resultData | Class to Contain Analysis Results for Imaging Experiments |
resultData-method | Class to Contain Analysis Results for Imaging Experiments |
resultData<- | Class to Contain Analysis Results for Imaging Experiments |
resultData<--method | Class to Contain Analysis Results for Imaging Experiments |
ResultSet | Class to Contain Analysis Results for Imaging Experiments |
ResultSet-class | Class to Contain Analysis Results for Imaging Experiments |
risk.colors | Color Palettes for Imaging |
rownames-method | On-Disk Matrix Class Using On-Demand Disk Reads |
rownames-method | Sparse Matrix Class Using Lists as Hash Tables |
rownames<--method | On-Disk Matrix Class Using On-Demand Disk Reads |
rownames<--method | Sparse Matrix Class Using Lists as Hash Tables |
sampleNames-method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
sampleNames-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
sampleNames<--method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
sampleNames<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
samples-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanDirection | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanDirection-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanDirection<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanDirection<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanPattern | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanPattern-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanPattern<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanPattern<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanPolarity | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanPolarity-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanPolarity<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanPolarity<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanType | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanType-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanType<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
scanType<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
select | Select Regions of an Imaging Dataset |
select-method | Select Regions of an Imaging Dataset |
select-methods | Select Regions of an Imaging Dataset |
show-method | On-Disk Matrix Class Using On-Demand Disk Reads |
show-method | Sparse Matrix Class Using Lists as Hash Tables |
show-method | Class Containing Arrays of Imaging Data |
show-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
show-method | Class Containing Mass Spectral Pre-Processing Information |
show-method | Class to Contain Analysis Results for Imaging Experiments |
SImageData | Class Containing Sparse Image Data |
SImageData-class | Class Containing Sparse Image Data |
SImageSet | Class to Contain Pixel-Sparse Imaging Data |
SImageSet-class | Class to Contain Pixel-Sparse Imaging Data |
smoothing | Class Containing Mass Spectral Pre-Processing Information |
smoothing-method | Class Containing Mass Spectral Pre-Processing Information |
smoothing<- | Class Containing Mass Spectral Pre-Processing Information |
smoothing<--method | Class Containing Mass Spectral Pre-Processing Information |
smoothSignal | Smooth the Feature-Vectors of an Imaging Dataset |
smoothSignal-method | Smooth the Feature-Vectors of an Imaging Dataset |
smoothSignal-methods | Smooth the Feature-Vectors of an Imaging Dataset |
smoothSignal.gaussian | Smooth the Feature-Vectors of an Imaging Dataset |
smoothSignal.ma | Smooth the Feature-Vectors of an Imaging Dataset |
smoothSignal.sgolay | Smooth the Feature-Vectors of an Imaging Dataset |
softwareName | Class for Storing Mass Spectrometry Imaging Experiment Information |
softwareName-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
softwareName<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
softwareName<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
softwareVersion | Class for Storing Mass Spectrometry Imaging Experiment Information |
softwareVersion-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
softwareVersion<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
softwareVersion<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
spatialKMeans | Spatially-Aware K-Means Clustering |
SpatialKMeans-class | Spatially-Aware K-Means Clustering |
spatialKMeans-method | Spatially-Aware K-Means Clustering |
spatialKMeans-methods | Spatially-Aware K-Means Clustering |
spatialShrunkenCentroids | Spatially-Aware Shrunken Centroid Clustering and Classification |
SpatialShrunkenCentroids-class | Spatially-Aware Shrunken Centroid Clustering and Classification |
spatialShrunkenCentroids-method | Spatially-Aware Shrunken Centroid Clustering and Classification |
spatialShrunkenCentroids-methods | Spatially-Aware Shrunken Centroid Clustering and Classification |
specimenOrigin | Class for Storing Mass Spectrometry Imaging Experiment Information |
specimenOrigin-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
specimenOrigin<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
specimenOrigin<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
specimenType | Class for Storing Mass Spectrometry Imaging Experiment Information |
specimenType-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
specimenType<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
specimenType<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
spectra | Retrieve Image Data from iSets |
spectra-method | Class to Contain Mass Spectrometry Imaging Experiment Data |
spectra-methods | Retrieve Image Data from iSets |
spectra<- | Retrieve Image Data from iSets |
spectra<--method | Class to Contain Mass Spectrometry Imaging Experiment Data |
spectrumRepresentation | Class Containing Mass Spectral Pre-Processing Information |
spectrumRepresentation-method | Class Containing Mass Spectral Pre-Processing Information |
spectrumRepresentation<- | Class Containing Mass Spectral Pre-Processing Information |
spectrumRepresentation<--method | Class Containing Mass Spectral Pre-Processing Information |
stainingMethod | Class for Storing Mass Spectrometry Imaging Experiment Information |
stainingMethod-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
stainingMethod<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
stainingMethod<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
standardizeSamples | Standardize the Samples in an Imaging Dataset |
standardizeSamples-method | Standardize the Samples in an Imaging Dataset |
standardizeSamples-methods | Standardize the Samples in an Imaging Dataset |
standardizeSamples.sum | Standardize the Samples in an Imaging Dataset |
storageMode-method | Class Containing Arrays of Imaging Data |
storageMode-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
storageMode<--method | Class Containing Arrays of Imaging Data |
storageMode<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
summary-method | Orthogonal Partial Least Squares |
summary-method | Principal Components Analysis |
summary-method | Partial Least Squares |
summary-method | Apply Cross-Validated Analysis to Imaging Datasets |
summary-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
summary-method | Spatially-Aware K-Means Clustering |
summary-method | Spatially-Aware Shrunken Centroid Clustering and Classification |
tissueThickness | Class for Storing Mass Spectrometry Imaging Experiment Information |
tissueThickness-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
tissueThickness<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
tissueThickness<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
tissueWash | Class for Storing Mass Spectrometry Imaging Experiment Information |
tissueWash-method | Class for Storing Mass Spectrometry Imaging Experiment Information |
tissueWash<- | Class for Storing Mass Spectrometry Imaging Experiment Information |
tissueWash<--method | Class for Storing Mass Spectrometry Imaging Experiment Information |
topLabels | Retrieve Top-Ranked Labels from Analysis Results |
topLabels-method | Retrieve Top-Ranked Labels from Analysis Results |
topLabels-methods | Retrieve Top-Ranked Labels from Analysis Results |
varLabels-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
varLabels<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
varMetadata-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
varMetadata<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
$-method | Class to Contain Analysis Results for Imaging Experiments |
$-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
$<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
[-method | On-Disk Matrix Class Using On-Demand Disk Reads |
[-method | Sparse Matrix Class Using Lists as Hash Tables |
[-method | Class Containing Measured Variables and Their Meta-Data Description for Imaging Experiments |
[-method | Class to Contain Analysis Results for Imaging Experiments |
[-method | Class Containing Sparse Image Data |
[-method | Class to Contain Pixel-Sparse Imaging Data |
[<--method | Sparse Matrix Class Using Lists as Hash Tables |
[[-method | Class Containing Arrays of Imaging Data |
[[-method | Class to Contain Analysis Results for Imaging Experiments |
[[-method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |
[[<--method | Class Containing Arrays of Imaging Data |
[[<--method | Class to Contain High-Throughput Imaging Experiment Data and Metadata |