Registered 2006-12-29 by Ramon Diaz-Uriarte

GeneSrF is web-based tool for gene selection in classification problems that uses random forests. Two approaches for gene selection are used: one is targeted towards identifying small, non-redundant sets of genes that have good predictive performance. The second is a more heuristic graphical approach that can be used to identify large sets of genes (including redundant genes) related to the outcome of interest.

The R-package is a stand-alone R package (and is available for download either from here, under varSelRF or from CRAN). Installing the web application is not trivial (because of handling the CGI together with MPI); please look at the "Asterias Common" product.

GeneSrF is described in the paper:

Project information

Part of:
Asterias Project
Ramon Diaz-Uriarte
Not yet selected
GNU Affero GPL v3, GNU GPL v2, GNU GPL v3

RDF metadata

View full history Series and milestones

trunk series is the current focus of development.

All code Code

Version control system:
Programming languages:
R, Python

Get Involved

  • warning
    Report a bug
  • warning
    Ask a question
  • warning
    Help translate


GeneSrF does not have any download files registered with Launchpad.