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This entry published by the Free Software Foundation.
| MDR |
| Computer languages | Java + |
|---|---|
| Full description | MDR was developed to facilitate the detection, characterization, and interpretation of gene-gene interactions or epistasis. MDR uses a novel constructive induction algorithm to detect nonlinear interactions among discrete attributes. |
| Homepage URL | http://www.epistasis.org + |
| Is GNU | false + |
| Keywords | interaction + , genetics + , epistasis + , bioinformatics + , data mining + , machine learning + |
| Last review by | Jason Moore + |
| Last review date | 17 October 2006 + |
| License | GPLv2orlater + |
| License verified by | Ted Teah + |
| License verified date | 17 October 2006 + |
| Name | MDR + |
| Real name | Jason Moore + |
| Resource URL | mailto:jason.h.moore@dartmouth.edu + |
| Resource audience | Bug Tracking + , Developer + , Help + , Support + |
| Resource kind | E-mail + |
| Revisionid | 3,565 + |
| Revisiontimestamp | 12 April 2011 13:48:46 + |
| Revisionuser | WikiSysop + |
| Role | Maintainer + |
| Short description | Multifactor Dimensionality Reduction + |
| Submitted by | Database conversion + |
| Submitted date | 1 April 2011 + |
| User level | none + |
| Version comment | 1.0 released on 2006-09-26 |
| Version date | 26 September 2006 + |
| Version download | http://prdownloads.sourceforge.net/mdr/mdr-src-1.0.0.tar.gz?download + |
| Version identifier | 1.0 + |
| Version status | stable + |
| Modification dateThis property is a special property in this wiki. | 25 May 2012 00:19:24 + |
| Page has default formThis property is a special property in this wiki. | Entry + |
| EmailThis property is a special property in this wiki. | jason.h.moore@dartmouth.edu + |
| hide properties that link here |
| MDR#3 + | License of |
|---|---|
| MDR#1 + | Person of |
| MDR#2 + | Resource of |
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The copyright and license notices on this page only apply to the text on this page. Any software described in this text has its own copyright notice and license, which can usually be found in the distribution itself.