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eisa

Bioc removed

Expression data analysis via the Iterative Signature Algorithm

v1.44.0 · GPL (>= 2)

Release Lineage

Entered 2.6 · Apr 23, 2010

Removed after 3.13 · May 20, 2021

1.0 In 23 of 49 releases 3.23

Description

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.

Advisories

None published for Bioconductor

Code intelligence has not been computed for this package yet.

Code

Code metrics have not been computed for this package yet.

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

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Cite

Cite this package

Run in R for the authors' preferred citation:

citation("eisa")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for eisa version 1.44.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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