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TSCAN (version 1.10.2)

orderscore: orderscore

Description

Calculate pseudotemporal ordering scores for orders

Usage

orderscore(subpopulation, orders)

Arguments

subpopulation
Data frame with two columns. First column: cell names. Second column: sub-population codes.
orders
A list with various length containing pseudotime orderings.

Value

a numeric vector of calculated POS.

Details

This function calculates pseudotemporal ordering scores (POS) based on the sub-population information and order information given by users. Cells should come from at least two cell sub-populations. These sub-population should be coded as 0,1,2,...

Examples

Run this code
data(lpsdata)
procdata <- preprocess(lpsdata)
subpopulation <- data.frame(cell = colnames(procdata), sub = ifelse(grepl("Unstimulated",colnames(procdata)),0,1), stringsAsFactors = FALSE)
lpsmclust <- exprmclust(procdata)
#Comparing default TSCAN ordering and tuned TSCAN ordering
order1 <- TSCANorder(lpsmclust)
order2 <- TSCANorder(lpsmclust, c(1,2,3))
orders <- list(order1,order2)
orderscore(subpopulation, orders)

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