make_input_tm_facs: make_input_tm_facs

In hemberg-lab/sctransfermap: sctransfermap for predicting cell type in single-cell data (RNA-seq and ATAC-seq)

Description

"make_input" for result of import_tm_facs

Usage

make_input_tm_facs(data_list, gene_usage = FALSE, Train = TRUE,
  ncore = 1)

Arguments

data_list	result of import_tm_facs or import_sparse
gene_usage	option for gene/peak_location filtering to make hadamard matrix FALSE: gene/peak_location filtering by discarding low expressing cell ratio genes/peak_locations certain number (ex: 2048): the number of gene to use for training (must be suitable number to generate hadamard matrix)
Train	TRUE if it is data for training TRUE: adjust min_thr and max_thr. In addition, make the gene/peak_location count for hadamard matrix FALSE: no gene/peak_location filtering
ncore	multi-thread

Value

list of "make_input" results from each tissue (or sample)

Examples

tm_facs <- import_tm_facs("address")
tm_facs_input <- make_input_tm_facs(tm_facs)

hemberg-lab/sctransfermap documentation built on Nov. 11, 2019, 6:23 a.m.