eisa
Expression data analysis via the Iterative Signature Algorithm
Bioconductor version: 2.7
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 <Gabor.Csardi at unil.ch>
Maintainer: Gabor Csardi <Gabor.Csardi at unil.ch>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("eisa")
To cite this package in a publication, start R and enter:
citation("eisa")
Documentation
| R Script | The eisa and the biclust packages | |
| R Script | The Iterative Signature Algorithm for Gene Expression Data | |
| Reference Manual |
Details
| biocViews | Classification, Visualization, Microarray, GeneExpression |
| Depends | methods, isa2, Biobase, AnnotationDbi, Category, genefilter, DBI |
| Imports | |
| Suggests | igraph (>= 0.5.2), Matrix, GOstats, GO.db, KEGG.db, biclust, MASS, xtable, ALL, hgu95av2.db |
| System Requirements | |
| License | GPL (>= 2) |
| URL | |
| Depends On Me | |
| Imports Me | ExpressionView |
| Suggests Me | |
| Version | 1.2.0 |
| Since | Bioconductor 2.6 (R-2.11) |
Package Downloads
| Package Source | eisa_1.2.0.tar.gz |
| Windows Binary | eisa_1.2.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | eisa_1.2.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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