STS_sortingcost: A cost computation function for Side-to-Side (STS) algorithm

In uSORT: uSORT: A self-refining ordering pipeline for gene selection

Description

A cost computation function for Side-to-Side (STS) algorithm

Usage

STS_sortingcost(expr = NULL, method = c("Euclidean", "Correlation",
  "eJaccard", "none"))

Arguments

expr	An expresssion matrix containing n-rows of cells and m-cols of genes.
method	A character string indicating the distance function.

Value

A numeric value of sorting cost.

Examples

set.seed(15)
da <- iris[sample(150, 150, replace = FALSE), ]
d <- da[,1:4]
randomOrdering_cost <- STS_sortingcost(d, method= 'Euclidean')
randomOrdering_cost

da <- iris
d <- da[,1:4]
properOrdering_cost <- STS_sortingcost(d, method= 'Euclidean')
properOrdering_cost

uSORT documentation built on Nov. 8, 2020, 5:18 p.m.