cal_MSE {FEAST} | R Documentation

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

### 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)

[Package FEAST version 1.0.0 Index]