multi-threads support to speed up on large dataset

[zyllifeworld]

function process_abundance_expression_info and get_DE_info now support multi-threads computation by pass params BPPARAM = BPPARAM.

BPPARAM <- BiocParallel::bpparam()
BPPARAM$workers <- 10
abundance_expression_info = process_abundance_expression_info(
  sce = sce, 
  sample_id = sample_id, group_id = group_id, celltype_id = celltype_id, 
  min_cells = min_cells, 
  senders_oi = senders_oi, receivers_oi = receivers_oi, 
  lr_network = lr_network, 
  frq_list = frq_list, 
  abundance_info = abundance_info,BPPARAM = BPPARAM)

DE_info = get_DE_info(
  sce = sce, 
  sample_id = sample_id, group_id = group_id, celltype_id = celltype_id, 
  batches = NA, covariates = covariates, 
  contrasts_oi = contrasts_oi, 
  min_cells = min_cells, 
  expressed_df = frq_list$expressed_df,BPPARAM = BPPARAM)