BCBimax: The Bimax Bicluster algorithm

In biclust: BiCluster Algorithms

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 [e-mail]

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

biclust, Biclust

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

biclust documentation built on May 2, 2019, 5:56 p.m.