suggest_best_k-ConsensusPartitionList-method | R Documentation |
Suggest the best number of subgroups
## S4 method for signature 'ConsensusPartitionList'
suggest_best_k(object, jaccard_index_cutoff = select_jaccard_cutoff(ncol(object)))
object |
A |
jaccard_index_cutoff |
The cutoff for Jaccard index for comparing to previous k. |
It basically gives the best k for each combination of top-value method and partitioning method by calling suggest_best_k,ConsensusPartition-method
.
1-PAC score higher than 0.95 is treated as very stable partition (marked by **
) and higher than 0.9 is treated as stable partition (marked by *
).
A data frame with the best k and other statistics for each combination of methods.
Zuguang Gu <z.gu@dkfz.de>
data(golub_cola)
suggest_best_k(golub_cola)
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