mRMR (minimum Redundancy Maximum Relevance Feature Selection)
- Online Version: You can run the program using your own data
through the following form, -- you can also download the program and run on your own machines (see links below).
- C/C++ Binary Version: You can download several versions and run on your own machine (you can type the program name and get the help information):
- C/C++ Source Codes: You can compile the executable for your own machine if you have a GNU C++ compiler. Just check the file "How_to_compile" for details after you download and unzip. For Linux and Mac, this is simply a "make" command; for Windows, you can use the "make" command in MinGW and MSys:
- Major Publications: For more information of mRMR, you may want to read one of the following papers. Details information of more related publications can be found here.
"Feature selection based on mutual
information: criteria of max-dependency, max-relevance, and
Hanchuan Peng, Fuhui Long, and
IEEE Transactions on Pattern Analysis and Machine
Vol. 27, No. 8, pp.1226-1238, 2005. [PDF]
"Minimum redundancy feature selection
from microarray gene expression data,"
Chris Ding, and Hanchuan Peng,
Journal of Bioinformatics and Computational Biology,
Vol. 3, No. 2, pp.185-205, 2005. [PDF]
(A conference version with a different set of results, but the
title, also appeared on:
Proc. 2nd IEEE Computational Systems Bioinformatics
pp.523-528, Stanford, CA, Aug, 2003. [PDF])
(Names of Genes