Create a PNAAssay5 object — CreatePNAAssay5 • pixelatorR

Create a PNAAssay5 object from a count matrix and a list of CellGraph objects. The expected format of the input matrix is features x cells. Optionally, a tbl_df with proximity scores and a tbl_df with information on source PXL file paths can be provided.

Usage

CreatePNAAssay5(
  counts,
  cellgraphs,
  proximity = NULL,
  fs_map = NULL,
  verbose = FALSE,
  ...
)

Arguments

counts: Unnormalized data (raw counts)
cellgraphs: A named list with CellGraph objects
proximity: A tbl_df with proximity scores
fs_map: A tbl_df with information on source PXL file paths, sample IDs, and component IDs
verbose: Print messages
...: Additional arguments passed to CreateAssay5Object

Value

A PNAAssay5 object

Examples

library(pixelatorR)
library(dplyr)

pxl_file <- minimal_pna_pxl_file()
counts <- ReadPNA_counts(pxl_file)
pna_assay5 <- CreatePNAAssay5(
  counts = counts,
  cellgraphs = rep(list(NULL), ncol(counts)) %>%
    setNames(colnames(counts))
)
pna_assay5
#> PNAAssay (v5) data with 158 features for 5 cells
#> First 10 features:
#>  HLA-ABC, B2M, CD11b, CD11c, CD18, CD82, CD8, TCRab, HLA-DR, CD45 
#> Layers:
#>  counts 
#> Loaded CellGraph objects:
#>  0