Notice: I decide to maintain all the programs and
source code on Google Code, due to my upcoming relocation. This page
will be left as it is and will not be updated. You will be redirected to the
Google Code page for this project in 10 seconds...
Click here to go to the Google Code
Ensemble of Filters: improve statistical power of gene-gene interaction filtering
Using an ensemble approach to improve gene-gene interaction filtering results. Works
for unstable filter (e.g. ReliefF and TuRF).
To report bugs, please email to following address:
Note that only TuRF-E
is able to significantly improve power in SNP interaction filtering. ReliefF-E
is provided for evaluation purpose only. See  for more details.
The example dataset is obtained from study .
* Perl v5, Java 5.0, and MDR 2.0 is required. Please place all program files in the same directory or you
need to set Classpath for it to work.
Using TuRF-E.pl as example, to obtain the general information about the program, run following command in command line (without parameters):
To test the program, run the program with the example dataset:
perl TuRF-E.pl -f 20.400.1.txt
 Pengyi Yang, Joshua W.K. Ho,
Albert Y. Zomaya, Bing B. Zhou, "Gene-gene interaction filtering with ensemble of filters", BMC Bioinformatics, 12:(Suppl 1):S10, 2011. [fulltext]
 Jason H. Moore et al., "Application of genetic algorithms to the
discovery of complex models for simulation studies in human genetics", In:
Proceedings of the Genetic and Evolutionary Computation Conference,