HierarchicalPartition-class {cola} | R Documentation |
The HierarchicalPartition class
The HierarchicalPartition-class
has following methods:
hierarchical_partition
:constructor method.
collect_classes,HierarchicalPartition-method
:plot the hierarchy of subgroups predicted.
get_classes,HierarchicalPartition-method
:get the class IDs of subgroups.
suggest_best_k,HierarchicalPartition-method
:guess the best number of partitions for each node.
get_matrix,HierarchicalPartition-method
:get the original matrix.
get_signatures,HierarchicalPartition-method
:get the signatures for each subgroup.
dimension_reduction,HierarchicalPartition-method
:make dimension reduction plots.
test_to_known_factors,HierarchicalPartition-method
:test correlation between predicted subgrouping and known annotations, if available.
cola_report,HierarchicalPartition-method
:generate a HTML report for the whole analysis.
GO_enrichment,HierarchicalPartition-method
:perform GO enrichment analysis on significant genes if rows in the matrix can be corresponded to genes.
Zuguang Gu <z.gu@dkfz.de>
# There is no example NULL