sample_zero_mscor_data: Sample mscor coefficients from pre-computed covariance...
In SPONGE: Sparse Partial Correlations On Gene Expression

Description Usage Arguments Value See Also Examples

Sample mscor coefficients from pre-computed covariance matrices

1 2	sample_zero_mscor_data(cov_matrices, number_of_samples = 100, number_of_datasets = 100)

`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

a vector of mscor coefficients

sample_zero_mscor_cov

#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)