Description Usage Arguments Details Value Author(s) Examples
Calculate pseudotemporal ordering scores for orders
1 | orderscore(subpopulation, orders)
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subpopulation |
Data frame with two columns. First column: cell names. Second column: sub-population codes. |
orders |
A list with various length containing pseudotime orderings. |
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,...
a numeric vector of calculated POS.
Zhicheng Ji, Hongkai Ji <zji4@zji4.edu>
1 2 3 4 5 6 7 8 9 | 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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