Cellular_preclustering: Preclustering method
In QuantumClone: Clustering Mutations using High Throughput Sequencing (HTS) Data

This method clusters mutations based on the probability that they are from the same distribution. It first computes the zscore associated with a normalized number of alternative reads and depth. The "normalized" number of reads is the number of alternative reads expected if the mutation was at a single copy in a diploid genome.

1	Cellular_preclustering(Schrod_cells)

Schrod_cells

The classic output from Schrodinger function

returns a list with:

similarityMatrix: The matrix of probabilities
distance: The dissimilarity matrix
tree: The tree obtained by hierachical clustering of the dissimilarity matrix using "ward.D2" method