ALLModules: ISA transcription modules for the ALL data
In eisa: Expression data analysis via the Iterative Signature Algorithm
Description
Usage
Format
Source
References
See Also
Examples
Description
The Iterative Signature Algorithm (ISA) is a biclustering
method. ALLModules and ALLModulesSmall are example ISA
biclusters (=modules) found in the ALL data set.
Usage
1
2
Format
Both ALLModules and ALLModulesSmall are instances
of the ISAModules class.
Source
ISAModules was generated by calling ISA on the
ALL data set, using the default
parameters. ISAModulesSmall was generated the same way, but
with gene threshold 2.7 and condition threshold 1.4 only.
References
Bergmann S, Ihmels J, Barkai N: Iterative signature algorithm for the
analysis of large-scale gene expression data Phys Rev E Stat
Nonlin Soft Matter Phys. 2003 Mar;67(3 Pt 1):031902. Epub 2003 Mar 11.
See Also
The ALL BioConductor package.
Examples
1
2
eisa documentation built on Nov. 8, 2020, 6:47 p.m.
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Description Usage Format Source References See Also Examples
Description
The Iterative Signature Algorithm (ISA) is a biclustering
method. ALLModules and ALLModulesSmall are example ISA
biclusters (=modules) found in the ALL data set.
Usage
1 2 |
Format
Both ALLModules and ALLModulesSmall are instances
of the ISAModules class.
Source
ISAModules was generated by calling ISA on the
ALL data set, using the default
parameters. ISAModulesSmall was generated the same way, but
with gene threshold 2.7 and condition threshold 1.4 only.
References
Bergmann S, Ihmels J, Barkai N: Iterative signature algorithm for the analysis of large-scale gene expression data Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Mar;67(3 Pt 1):031902. Epub 2003 Mar 11.
See Also
The ALL BioConductor package.
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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