example_data

<p>In this matrix, columns represent the results of different clustering results and rows are samples.</p>

datasets

Consensus clustering, also called meta-clustering or cluster ensembles, has been increasingly
used in clinical data. Current consensus clustering methods tend to ensemble a number of different
clusters from mathematical replicates with similar sample coverage. As the fact of common variety
of sample coverage in the real-world data, a new consensus clustering strategy dealing with
such biological replicates is required. This is a two-step consensus clustering package, which
is used to input multiple predictive labels with different sample coverage (missing labels).

Chuanxing Li

ccml

Consensus Clustering for Different Sample Coverage Data

Meng Zhou

example_data function

<p>A matrix with 10 rows and 5 columns.</p>

example_data: The input data for example

Description

Usage

Arguments

Format