predictor {CrossICC} | R Documentation

## To calculate the correlation between the predictor centroid and the validation centroid.

### Description

To calculate the correlation between the predictor centroid and the validation centroid.

### Usage

    predictor(pre.dat, model)

### Arguments

`pre.dat` | a eSet object or eSet-like matrix with features in rows and samples in columns
`model` | a list containing CrossICC result

### Value

a list contains a vecter that store the predict clusters and a normalized expression matrix

### Examples

    data("demo.platforms")
    CrossICC.object <- CrossICC(demo.platforms, skip.mfs = TRUE, max.iter = 1, overwrite = TRUE, output.dir = tempdir())
    predicted <- predictor(demo.platforms[[1]], CrossICC.object)

[Package CrossICC version 1.0.0 Index]