A Correlation Based Multiview Self Organizing Maps Clustering For IMC Datasets

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Documentation for package ‘FuseSOM’ version 1.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

.arsinhNnorm	Function to do arsinh normalization
.computeElbow	A function to compute the elbow point given a set of points
.minmaxNorm	Function to do min max normalization
.percentileNorm	Function to do percentile normalizaton
.runDiscriminant	Discriminant cluster estimator
.uniformData	Creates uniformly distributed data of same dimensionality as input data this function was obtained from the Stab package
clusterPrototypes	Cluster prototypes
computeGridSize	Estimate the optimal grid size
diabetesData	IMC Breast Cancer Data Data from A spatial atlas of breast cancer progression using MIBI-TOF and tissue transcriptomics
estimateNumCluster	Estimate number of clusters
FuseSOM	FuseSOM
generatePrototypes	Generate a Self Organizing Map
markerHeatmap	Generate expression heatmap
normaliseData	Normalise Marker Intensities
normalizeData	Normalize Marker Intensities
optiPlot	Generate elbow plots
risom_dat	IMC Breast Cancer Data Data from A spatial atlas of breast cancer progression using MIBI-TOF and tissue transcriptomics
runFuseSOM	A wrapper function to run the FuseSOM algorithm
somInitPca.default	these functions were obtained from https://rdrr.io/rforge/yasomi/ with some major modifications