sample_zero_mscor_data: Sample mscor coefficients from pre-computed covariance...

In biomedbigdata/SPONGE: Sparse Partial Correlations On Gene Expression

Sample mscor coefficients from pre-computed covariance matrices

Description

Sample mscor coefficients from pre-computed covariance matrices

Usage

sample_zero_mscor_data(
  cov_matrices,
  number_of_samples = 100,
  number_of_datasets = 100
)

Arguments

cov_matrices	a list of pre-computed covariance matrices
number_of_samples	the number of samples available in the expression data
number_of_datasets	the number of mscor coefficients to be sampled from each covariance matrix

Value

a vector of mscor coefficients

See Also

sample_zero_mscor_cov

Examples

#we select from the pre-computed covariance matrices in SPONGE
#100 for m = 5 miRNAs and gene-gene correlation 0.6
cov_matrices_selected <- precomputed_cov_matrices[["5"]][["0.6"]]
sample_zero_mscor_data(cov_matrices = cov_matrices_selected,
number_of_samples = 200, number_of_datasets = 10)

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