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 in a standardized data matrix.

Usage

## S4 method for signature 'matrix,BCCC'
biclust(x, method=BCCC(), delta = 1.0, 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 2.0.3 Index]