binarization.mann.whitney: Binarization and Identity Calling from Identity Score

In morris-lab/Capybara: A tool to measure cell identity and fate transitions

Binarization and Identity Calling from Identity Score

Description

This function calls single identity or multiple identities of query cells from empirical p-values. Inferred cell types are marked by 1 in a binarized matrix.

Usage

binarization.mann.whitney(
  mtx,
  ref.perc.ls,
  ref.meta,
  perc.ls,
  bulk = FALSE,
  map.df = NULL,
  init.class = NULL
)

Arguments

mtx	The matrix of identity scores of query cells. The row number is the total number of query cells and the column number is the number of total number of possible cell types
ref.perc.ls	Emprical p-values for reference cells
ref.meta	The celltype meta information for reference cells
perc.ls	Emprical p-values for query cells
bulk	If the reference data type is bulk RNA-seq. The default is bulk = FALSE
map.df	bulk mapping. The default is bulk = FALSE
init.class	initial classification. The default is init.class = NULL

morris-lab/Capybara documentation built on June 13, 2022, 10:33 p.m.