Identify pairs of columns interacting with one another

Usage

asap_build_interacting_columns(
  y_dn,
  z_dm,
  log_beta,
  beta_row_names,
  knn = 10L,
  do_stdize_beta = TRUE,
  do_log1p = FALSE,
  verbose = TRUE,
  NUM_THREADS = 1L,
  CELL_NORM = 10000,
  BLOCK_SIZE = 1000L
)

Arguments

y_dn: sparse data matrix (D x N)
z_dm: sparse data matrix (D x M)
log_beta: D x K log dictionary/design matrix
beta_row_names: row names log_beta (D vector)
knn: How many nearest neighbours we want (default: 10)
do_stdize_beta: use standardized log_beta (Default: TRUE)
do_log1p: do log(1+y) transformation
verbose: verbosity
NUM_THREADS: number of threads in data reading
CELL_NORM: sample normalization constant (default: 1e4)
BLOCK_SIZE: disk I/O block size (number of columns)