Iterative Signature Algorithm (ISA)

Version: 0.1.0

Short description

The iterative signature algorithm finds modules (or biclusters) in a data matrix.

Description

The iterative signature algorithm finds modules (or biclusters) in a data matrix.

Functionality

• Preprocessing
• Statistical Analysis
• Workflows

Approaches

• Metabolomics / Targeted
• Metabolomics / Untargeted

Instrument Data Types

• MS
• NMR

Tool Authors

• Sven Bergmann (University of Lausanne)
• Rico Rueedi (University of Lausanne)

Container Contributors

• Rico Rueedi (University of Lausanne)

Website

• https://www.unil.ch/cbg/index.php?title=ISA

Git Repository

• https://github.com/rrueedi/isa-py.git

Installation

The Iterative Signature Algorithm is present on all PhenoMeNal Galaxy instances on deployed Cloud Research Environments, under the Statistical Analysis category in the tool bar to the left of the screen. No installation is needed hence on PhenoMeNal Cloud Research Environments.

Publications

• Bergmann S, Ihmels J, Barkai N. Iterative signature algorithm for the analysis of large-scale gene expression data. Physical Review E. 2003;67(3):031902. doi:PhysRevE.67.031902.