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eagle-i ID


Resource Type

  1. Software


  1. Resource Description
    "MEDUSA is an algorithm for learning predictive models of transcriptional gene regulation from gene expression and promoter sequence data. By using a statistical learning approach based on boosting, MEDUSA learns cis regulatory motifs, condition-specific regulators, and regulatory programs that predict the differential expression of target genes. The regulatory program is specified as an alternating decision tree (ADT). The Java implementation of MEDUSA allows a number of visualizations of the regulatory program and other inferred regulatory information, implemented in the accompanying Gorgon tool, including hits of significant and condition-specific motifs along the promoter sequences of target genes and regulatory network figures viewable in Cytoscape." Development stage: pre-release beta version; Version 1.0 (MATLAB), April 2005, stable public release Release date: July 2006 Keywords: Binding site prediction, transcription interaction network
  2. Contact
    Leslie, Christina
  3. Contact
    Quigley, David
  4. Contact
    Middendorf, Manuel
  5. Contact
    Lianoglou, Steve
  6. Contact
    Kundaje, Anshul
  7. Contact
    Freund, Yoav
  8. Contact
    Wiggins, Chris
  9. Used by
    Center for Multiscale Analysis of Genomic and Cellular Networks
  10. Version
  11. Website(s)
  12. Software license
    Open source software license
Provenance Metadata About This Resource Record

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