chooseBest: Choose best combination of clusters and deconvolve
In ctlab/ClusDec: Clustering approach to solve complete Deconvolution problem

Description Usage Arguments Value Examples

Chooses best combination of clusters in accuracy table and then runs DSA using this combination of clusters as putative signatures

1	chooseBest(dataset, accuracy)

`dataset`	matrix, given dataset to perform deconvolution
`accuracy`	matrix, given accuracy table, result of clusdecAccuracy function

list with matrices W and H

data('datasetLiverBrainLung')
preprocessed <- preprocessDataset(datasetLiverBrainLung, k=5) # 5 clusters
accuracy <- clusdecAccuracy(preprocessed, 3) # assuming 3 cell types
results <- chooseBest(preprocessed, accuracy) # choose best combination of clusters as putative sigantures