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Tnasas: class prediction with microarrays
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License and copyright ====================== All of the Tnasas Python code is copyright (C) 2003-2006 Ramon Diaz-Uriarte <rdiaz02@gmail.com>. The Tnasas R package itself is under the GNU GPL. The rest of the code files are under the Affero Public license. All of the code is released under the Affero Public License. A copy of the license is included with this distribution (see AfferoPublicLicense.html or oagpl.html). The documentation is released under a Creative Commons License. See the documentation for the explicit terms of the license. Please, respect the licenses, copyright, and remember to give credit where credit is due. Installation ============= You need LAM/MPI, and some basic setup for the web-based setting up of LAM, etc. See the Asterias-common set of files, also available from The Launchpad (https://launchpad.net/projects/asterias) or Bioinformatics.org (http://bioinformatics.org/asterias).
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