generate_single_moclust: Generate simulated data

In agapow/subtypr: Robust and Validated Patient Subtyping for Precision Medicine

Description

Generate simulated data as in 10.1021/acs.jproteome.5b00824 (DOI).

Usage

generate_single_moclust(X, partition, sd_signal = 0.5, sparse = FALSE,
  percent_sparsity = 0.3)

Arguments

X	A feature matrix, rows are patients, columns are features.
partition	A partition of the samples.
sd_signal	The standard deviation of the signal in each cluster.
sparse	logical, to create sparsity in singular vector of Xsim.
percent_sparsity	Percentage of sparsity in singular vector of Xsim.

Details

Considering a partition of the samples, the data will be modified to have a structure corresponding to this partition.

Value

A simulated structured matrix

See Also

DOI: 10.1021/acs.jproteome.5b00824

agapow/subtypr documentation built on May 5, 2019, 1:33 a.m.