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
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 2.0.3.1 Index]