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 0.7.1 Index]