Select_Model_short_SC3: Using clustering results based on feature selection to...
In suke18/FEAST: FEAture SelcTion (FEAST) for Single-cell clustering

Description Usage Arguments Value Examples

Using clustering results based on feature selection to perform model selection.

1	Select_Model_short_SC3(Y, cluster, tops = c(500, 1000, 2000))

`Y`	A gene expression matrix
`cluster`	The initial cluster labels NA values are allowed. This can directly from the `Consensus` function.
`tops`	A numeric vector containing a list of numbers corresponding to top genes; e.g., tops = c(500, 1000, 2000).

mse and the SC3 clustering result.

data(Yan)
k = length(unique(trueclass))
Y = process_Y(Y, thre = 2) # preprocess the data
set.seed(123)
rixs = sample(nrow(Y), 500)
cixs = sample(ncol(Y), 40)
Y = Y[rixs, cixs]
con_res = Consensus(Y, k=k)
# not run
# mod_res = Select_Model_short_SC3(Y, cluster = con_res$cluster, top = c(100, 200))