BCBimax {biclust} | R Documentation |
The Bimax Bicluster algorithm
Description
Performs Bimax Biclustering based on the framework by Prelic et. al.(2006). It searches for submatrices of ones in a logical matrix. Uses the original C code of the authors.
Usage
## S4 method for signature 'matrix,BCBimax'
biclust(x, method=BCBimax(), minr=2, minc=2, number=100)
## S4 method for signature 'matrix,BCrepBimax'
biclust(x, method=BCrepBimax(), minr=2, minc=2, number=100, maxc=12)
Arguments
x |
A logical matrix which represents the data. |
method |
Here BCBimax, to perform Bimax algorithm |
minr |
Minimum row size of resulting bicluster. |
minc |
Minimum column size of resulting bicluster. |
number |
Number of Bicluster to be found. |
maxc |
Maximum column size of resulting bicluster. |
Value
Returns an object of class Biclust
.
Author(s)
Sebastian Kaiser sebastian.kaiser@stat.uni-muenchen.de
References
Prelic, A.; Bleuler, S.; Zimmermann, P.; Wil, A.; Buhlmann, P.; Gruissem, W.; Hennig, L.; Thiele, L. & Zitzler, E. A Systematic Comparison and Evaluation of Biclustering Methods for Gene Expression Data Bioinformatics, Oxford Univ Press, 2006, 22, 1122-1129
See Also
Examples
test <- matrix(rnorm(5000), 100, 50)
test[11:20,11:20] <- rnorm(100, 3, 0.1)
loma <- binarize(test,2)
res <- biclust(x=loma, method=BCBimax(), minr=4, minc=4, number=10)
res