Description Usage Arguments Value Examples

A cost computation function for Neighborhood algorithm

1 2 | ```
neighborhood_sortingcost(expr = NULL, sigma_width = 1,
method = c("Euclidean", "Correlation", "eJaccard", "none"))
``` |

`expr` |
An expresssion matrix containing n-rows of cells and m-cols of genes. |

`sigma_width` |
An integer number determining the degree of spread of the gaussian distribution which is used for computing weight matrix for Neighborhood sorting method. |

`method` |
A character string indicating the distance function. |

A numeric value of sorting cost.

1 2 3 4 5 6 7 8 9 10 | ```
set.seed(15)
da <- iris[sample(150, 150, replace = FALSE), ]
d <- da[,1:4]
randomOrdering_cost <- neighborhood_sortingcost(d, method= 'Euclidean')
randomOrdering_cost
da <- iris
d <- da[,1:4]
properOrdering_cost <- neighborhood_sortingcost(d, method= 'Euclidean')
properOrdering_cost
``` |

JinmiaoChenLab/uSORT documentation built on May 8, 2017, 11:30 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.