Visual_Rslt: 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	Visual_Rslt(model_cv_res, trueclass)

`model_cv_res`	model selection result from `Select_Model_short_SC3`.
`trueclass`	The real class labels

a list of mse dataframe, clustering accuracy dataframe, and ggplot object.

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, ]
con_res = Consensus(Y, k=k)
# Not run
# mod_res = Select_Model_short_SC3(Y, cluster = con_res$cluster, top = c(100, 200))
library(ggpubr)
# Visual_Rslt(model_cv_res = mod_res, trueclass = trueclass)