Sep 282013
 

MONET 2.01

:: DEVELOPER

MONET (modularized network learning) is a regulatory network inference algorithm based on Bayesian network learning, which enables genome-wide network inference from microarray expression data using parallel processing techniques with supercomputing resources.

:: DEVELOPER

Phil Hyoun Lee, Doheon Lee, Korea Advanced Institute of Science and Technology (KAIST).

:: SCREENSHOTS

MONET

:: REQUIREMENTS

  • Windows / Linux/MacOsX
  • Java
  • Cytoscape 

:: DOWNLOAD

 MONET

:: MORE INFORMATION

Citation

Bioinformatics. 2005 Jun 1;21(11):2739-47. Epub 2005 Mar 29.
Modularized learning of genetic interaction networks from biological annotations and mRNA expression data.
Lee PH, Lee D.

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