Returns number of clusters based on model selection
FLASH_main(Schrod_cells, model.selection, conta, Nclus, tree = NULL,
dissimMatrix = NULL)Output from Schrodinger cellularities
One of "tree", "AIC", "BIC" or numeric. "tree" will use "ccc","ch" and "gap" methods from NbClust to determine the number of clusters. "BIC","AIC" or numeric values will use methods from QuantumClone.
vector with contamination fraction in each sample
vector with the number of clusters to test (alternatively only min and max values)
Hierarchical tree from hclust
Dissimilarity matrix, required if model selection is "tree"