R/postfit_coef_samples.R
extract_TOP_coef_samples.Rd
Extracts regression coefficients from TOP posterior samples
extract_TOP_coef_samples(
TOP_samples,
tf_cell_combos,
assembled_training_data,
tf_name,
cell_type,
n_bins = 5,
level = c("bottom", "middle", "top")
)
TOP samples combined from all partitions using the
combine_TOP_samples()
function.
A table with the indices and names of TF and cell type
combinations from the assembled training data. If missing,
will create the table using assembled_training_data
.
Assembled training data as in the
assemble_training_data()
function.
TF name.
Cell type.
Number of DNase or ATAC bins in TOP model (default = 5).
The level in the TOP model (options: ‘bottom’, ‘middle’, or ‘top’). ‘bottom’ level: TF- and cell-type- specific; ‘middle’ level: TF-specific, cell-type generic; ‘top’ level: TF-generic
A data frame of posterior samples for TOP's regression coefficients.
if (FALSE) {
TOP_coef_samples <- extract_TOP_coef_samples(TOP_samples,
assembled_training_data = assembled_training_data)
# or
tf_cell_combos <- extract_tf_cell_combos(assembled_training_data)
TOP_coef_samples <- extract_TOP_coef_samples(TOP_samples,
tf_cell_combos = tf_cell_combos)
}