cluster.permutation.analysis.1: Permutation Analysis for determining significance of cluster...

In minzheguo/SINCERA: An R implementation of SINCERA pipeline for processing single-cell RNA-seq data.

Description

Permutation Analysis for determining significance of cluster assignments

Usage

cluster.permutation.analysis.1(ES, group.by = "GROUP", n = 20,
  distance.method = "euclidean", log.base = 2, verbose = TRUE)

Arguments

ES	(ExpressionSet) an ExpressionSet object containing the single cell RNA-seq data
group.by	(character) the name of the column that contains the cluster information
n	(numeric) the number of permutations
distance.method	(character) the distance method: pearson or spearman - (1-correlation)/2; euclidean - euclidean distance
log.base	(numeric) the base of logorithm; if log.base <=1 or log.base is NULL, no log transformations will be applied
verbose	(logical)

Note

This function is from SINCERA version a10242015. It will be upgraded soon.

minzheguo/SINCERA documentation built on Feb. 3, 2021, 2:31 p.m.