ConsensusPartition-class: The ConsensusPartition class

Description Methods Author(s) Examples

Description

The ConsensusPartition class

Methods

The ConsensusPartition-class has following methods:

consensus_partition:

constructor method, run consensus partition with a specified top method and a partition method.

select_partition_number,ConsensusPartition-method:

make a list of plots used to select optimized number of partitions.

consensus_heatmap,ConsensusPartition-method:

Heatmap of the consensus matrix.

membership_heatmap,ConsensusPartition-method:

Heatmap of the membership in each random sampling.

get_signatures,ConsensusPartition-method:

get the signature rows and make heatmaps.

dimension_reduction,ConsensusPartition-method:

dimension reduction plots.

collect_plots,ConsensusPartition-method:

Heatmaps for consensus matrix and membership matrix with different number of partitions.

collect_classes,ConsensusPartition-method:

Heatmap of classes with different number of partitions.

get_param,ConsensusPartition-method:

get parameters for the consensus clustering.

get_matrix,ConsensusPartition-method:

get the original matrix.

get_consensus,ConsensusPartition-method:

get the consensus matrix.

get_membership,ConsensusPartition-method:

get the membership in random samplings.

get_stat,ConsensusPartition-method:

get statistics for the consensus clustering.

get_classes,ConsensusPartition-method:

get the consensus class IDs and other columns.

guess_best_k,ConsensusPartition-method:

guess the best number of partitions.

test_to_known_factors,ConsensusPartition-method:

test correlation between predicted subgrouping and known annotations, if available.

Author(s)

Zuguang Gu <[email protected]>

Examples

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jokergoo/cola documentation built on Nov. 19, 2018, 9:18 p.m.