.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 |