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