Extracts the posterior mean of regression coefficients for each level of TOP model

Extracts regression coefficients from TOP posterior samples, and returns the posterior mean of coefficients for each level of TOP model.

extract_TOP_mean_coef(
  TOP_samples,
  tf_cell_combos,
  assembled_training_data,
  n_bins = 5
)

Arguments

TOP_samples: TOP samples combined from all partitions using the combine_TOP_samples() function.
tf_cell_combos: A table with the indices and names of TF and cell type combinations from the assembled training data. If missing, will create the table usi9ng assembled_training_data.
assembled_training_data: Assembled training data as in the assemble_training_data function.
n_bins: Number of DNase or ATAC bins in TOP model (default = 5)

Value

A list of posterior mean regression coefficients for each level of TOP model.

Examples

if (FALSE) {
TOP_mean_coef <- extract_TOP_mean_coef(TOP_samples,
                                       assembled_training_data = assembled_training_data)

# or
tf_cell_combos <- extract_tf_cell_combos(assembled_training_data)
TOP_mean_coef <- extract_TOP_mean_coef(TOP_samples,
                                       tf_cell_combos = tf_cell_combos)
}