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

Description Usage Arguments Value Examples

Description

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

Usage

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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

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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

JinmiaoChenLab/uSORT documentation built on May 7, 2019, 10:53 a.m.