BCXmotifs {biclust} | R Documentation |
The Xmotifs Bicluster algorithm
Description
Performs XMotifs Biclustering based on the framework by Murali and Kasif (2003). Searches for a submatrix where each row as a similar motif through all columns. The Algorihm needs a discret matrix to perform.
Usage
## S4 method for signature 'matrix,BCXmotifs'
biclust(x, method=BCXmotifs(), ns=10, nd=10, sd=5, alpha=0.05, number=100)
Arguments
x |
Data Matrix. |
method |
Here BCXmotifs, to perform Xmotifs algorithm |
ns |
Number of columns choosen. |
nd |
Number of repetitions. |
sd |
Sample size in repetitions. |
alpha |
Scaling factor for column result. |
number |
Number of bicluster to be found. |
Value
Returns an object of class Biclust
.
Extends
Class "BiclustMethod"
, directly.
Author(s)
Sebastian Kaiser sebastian.kaiser@stat.uni-muenchen.de
References
Murali, T. & Kasif, S. Extracting Conserved Gene Expression Motifs from Gene Expression Data Pacific Symposium on Biocomputing, sullivan.bu.edu, 2003, 8, 77-88
See Also
Examples
data(BicatYeast)
x<-discretize(BicatYeast)
res <- biclust(x, method=BCXmotifs(), ns=20, nd=20, sd=5, alpha=0.01, number=10)
res
[Package biclust version 2.0.3.1 Index]