cal_MSE: Standard way to preprocess the count matrix. It is the QC...

In suke18/FEAST: FEAture SelcTion (FEAST) for Single-cell clustering

Description

Standard way to preprocess the count matrix. It is the QC step for the genes.

Usage

cal_MSE(Ynorm, cluster, return_mses = FALSE)

Arguments

Ynorm	A normalized gene expression matrix. If not, we will normalize it for you.
cluster	The clustering outcomes. Specifically, they are cluster labels.
return_mses	True or False indicating whether returning the MSE.

Value

The MSE of the clustering centers with the predicted Y.

Examples

data(Yan)
Ynorm = Norm_Y(Y)
cluster = trueclass
MSE_res = cal_MSE(Ynorm, cluster)

suke18/FEAST documentation built on Sept. 14, 2021, 12:22 a.m.