update_func: Update Function

In scSorter: Implementation of 'scSorter' Algorithm

Description

Implements the scSorter method by iteratively running update_mu and update_C.

Usage

update_func(
  dat,
  design_mat,
  weightmat,
  unknown_threshold1 = 0,
  unknown_threshold2 = 0.05,
  max_iter = 100
)

Arguments

dat	A matrix of input data.
design_mat	An indicator variable matrix records specified marker genes of each cell type.
weightmat	A matrix of weights assigned to each marker gene.
unknown_threshold1	The parameter determines undecided cells cutoff. The default value is 0.
unknown_threshold2	The parameter determines whether undecided cells are further processed. The default value is 0.05.
max_iter	The maximum number of iterations for the algorithm to update parameters. The default value is 100.

Value

A list contains parameter estimates, type assignments, and the corresponding cost.

scSorter documentation built on March 17, 2021, 9:06 a.m.