tissue_scMappR_internal: Gene List Visualization and Enrichment (Internal)
In DustinSokolowski/scMappR: Single Cell Mapper

Description Usage Arguments Details Value Examples

View source: R/tissue_scMappR_internal.R

This function loops through every signature matrix in a particular tissue and generates heatmaps, cell-type preferences, and co-enrichment.

tissue_scMappR_internal(
  gene_list,
  species,
  output_directory,
  tissue,
  rda_path = "",
  cluster = "Pval",
  genecex = 0.01,
  raw_pval = FALSE,
  path = NULL,
  toSave = FALSE,
  drop_unkown_celltype = FALSE
)

`gene_list`	A list of gene symbols, mouse or human.
`species`	"mouse", "human" or "-9" if using a precomputed signature matrix.
`output_directory`	If toSave = TRUE, the name of the output directory that would be built.
`tissue`	Name of the tissue in "get_tissues".
`rda_path`	Path to the .rda file containing all of the signature matrices.
`cluster`	'Pval' or 'OR' depending on if you wantto cluster odds ratios or pvalues of CT preferences.
`genecex`	The size of the gene names of the rows in the heatmap.
`raw_pval`	If the inputted signature matrix are raw (untransformed) p-values – recommended to generate rank first (T/F).
`path`	If toSave == TRUE, path to the directory where files will be saved.
`toSave`	Allow scMappR to write files in the current directory (T/F).
`drop_unkown_celltype`	Whether or not to remove "unknown" cell-types from the signature matrix (T/F).

This function takes a list of genes and a tissue that is contained in current signature matrices before and generating heatmaps of cell-type preferences. It then completes cell-type enrichment of each individual cell-type, then, if more than two cell-types are signficiantly enriched, co-enrichemnt of those enriched cell-types is then computed.

List with the following elements:

`background_heatmap`	Data frame of the entire gene by cell-type signature matrix inputted.
`gene_list_heatmap`	Data frame of inputted signature matrix subsetted by input genes.
`single_celltype_preferences`	Data frame of enriched cell-types.
`group_celtype_preference`	Data frame of groups of cell-types enriched by the same genes.

data(POA_example) # region to preoptic area
Signature <- POA_example$POA_Rank_signature # signature matrix
rowname <- get_gene_symbol(Signature) # get signature
rownames(Signature) <- rowname$rowname
genes <- rownames(Signature)[1:60]
rda_path1 = "" # data directory (if it exists)

# set toSave = TRUE and path = output directory of your choice
internal <- tissue_scMappR_internal(genes, "mouse", output_directory = "scMappR_TesInternal",
                                   tissue = "hypothalamus", toSave = FALSE)