The Iterative Signature Algorithm (ISA) is a biclustering method; it finds correlated blocks (transcription modules) in gene expression (or other tabular) data. The ISA is capable of finding overlapping modules and it is resilient to noise. This package provides a convenient interface to the ISA, using standard BioConductor data structures; and also contains various visualization tools that can be used with other biclustering algorithms.
|Author||Gabor Csardi <[email protected]>|
|Bioconductor views||Classification GeneExpression Microarray Visualization|
|Maintainer||Gabor Csardi <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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