sample_zero_mscor_cov: Sampling zero multiple miRNA sensitivity covariance matrices

In biomedbigdata/SPONGE: Sparse Partial Correlations On Gene Expression

Sampling zero multiple miRNA sensitivity covariance matrices

Description

Sampling zero multiple miRNA sensitivity covariance matrices

Usage

sample_zero_mscor_cov(
  m,
  number_of_solutions,
  number_of_attempts = 1000,
  gene_gene_correlation = NULL,
  random_seed = NULL,
  log.level = "ERROR"
)

Arguments

m	number of miRNAs, i.e. number of columns of the matrix
number_of_solutions	stop after this many instances have been samples
number_of_attempts	give up after that many attempts
gene_gene_correlation	optional, define the correlation of the first two elements, i.e. the genes.
random_seed	A random seed to be used for reproducible results
log.level	the log level, typically set to INFO, set to DEBUG for verbose logging

Value

a list of covariance matrices with zero sensitivity correlation

Examples

sample_zero_mscor_cov(m = 1,
number_of_solutions = 1,
gene_gene_correlation = 0.5)

biomedbigdata/SPONGE documentation built on Feb. 6, 2023, 10:19 p.m.