fsc3_select_repr_cells.SCESet: Reduce the original dataset by using cell buckets

In hemberg-lab/FastSC3: Fast Single-Cell Consensus Clustering

Description

Reduce the original dataset by using cell buckets

Usage

fsc3_select_repr_cells.SCESet(object, d.region.min = 0.04,
  d.region.max = 0.07)

## S4 method for signature 'SCESet'
fsc3_select_repr_cells(object, d.region.min = 0.04,
  d.region.max = 0.07)

Arguments

object	an object of 'SCESet' class
d.region.min	defines the minimum number of eigenvectors used for kmeans clustering as a fraction of the total number of cells. Default is 0.04.
d.region.max	defines the maximum number of eigenvectors used for kmeans clustering as a fraction of the total number of cells. Default is 0.07.

Value

an object of 'SCESet' class

hemberg-lab/FastSC3 documentation built on May 17, 2019, 3:42 p.m.