BCCC {biclust} | R Documentation

## The CC Bicluster algorithm

### Description

Performs CC Biclustering based on the framework by Cheng and Church (2000). Searches for submatrices with a score lower than a specific treshold ind a standardizes data matrix.

### Usage

    ## S4 method for signature 'matrix, BCCC':
    biclust(x, method=BCCC(), delta, alpha=1.5, number=100)

### Arguments

`x` | Data matrix.
`method` | Here BCCC, to perform CC algorithm
`delta` | Maximum of accepted score.
`alpha` | Scaling factor.
`number` | Number of bicluster to be found.

### Value

Returns an object of class `Biclust`.

### Author(s)

Sebastian Kaiser sebastian.kaiser@stat.uni-muenchen.de

### References

Cheng, Y. & Church, G.M. Biclustering of Expression Data Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000, 1, 93-103

### See Also

`biclust`, `Biclust`

### Examples

    test <- matrix(rbinom(400, 50, 0.4), 20, 20)
    res <- biclust(test, method=BCCC(), delta=1.5,  alpha=1, number=10)
    res

[Package biclust version 0.8.1 Index]