generate_multi_structured: Generate synthetic data based on a list of features matrics.

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

Description

Generate a structured list of data with 4 clusters.

Usage

generate_multi_structured(data_support, structure_type = c("moclus"),
  ...)

Arguments

data_support	A list of features matrices used to generate the data
structure_type	The type of structure: "moclus" only.
...	Parameters for the method of generation. See Details.

Details

For the moment, only one method of generation is provided:

• "moclus" is inspired from moCluster: Identifying Joint Patterns Across Multiple Omics Data Sets, DOI: 10.1021/acs.jproteome.5b00824. The single parameter is: sd_signal which is the standard deviation of the signal used for the creation of the structure. Default value is 1. The higher sd_signal is, the higher the signal to noise ratio is. See the article for more information.

Value

A list of synthetic features matrix with the same dimension than the data_support

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