HierarchicalPartition-class: The HierarchicalPartition class

In cola: A Framework for Consensus Partitioning

Description

The HierarchicalPartition class

Methods

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.

compare_signatures,HierarchicalPartition-method:

compare signatures from different nodes.

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.

Author(s)

Zuguang Gu <[e-mail]>

Examples

# There is no example
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cola documentation built on Nov. 8, 2020, 8:12 p.m.