Title: LIBGS: A MATLAB software package for gene selection
Authors: Yi Zhang, Dingding Wang, Tao Li
Addresses: School of Computing and Information Sciences, Florida International University, 11200 SW 8th St., Miami, FL 33199, USA. ' School of Computing and Information Sciences, Florida International University, 11200 SW 8th St., Miami, FL 33199, USA. ' School of Computing and Information Sciences, Florida International University, 11200 SW 8th St., Miami, FL 33199, USA
Abstract: Many gene selection algorithms have been applied in gene expression data analysis successfully. To solve different developing environments of these toolkits, such as rankgene (Su et al., 2003), and mRMR(http: //research.janelia.org/peng/proj/mrmr/index.htm), perform data analysis and make algorithm comparison more flexible, we have developed a software package LIBGS including: seven new gene selection algorithms implemented using MATLAB; a MATLAB interface for Rankgene; a MATLAB interface for LIBSVM and WEKA; programs for converting data formats; a collection of six popular gene expression data sets. These features make LIBGS a useful tool in gene expression analysis and feature selection.
Keywords: LIBGS; feature selection algorithms; MATLAB; gene selection; gene expression data analysis.
DOI: 10.1504/IJDMB.2010.033525
International Journal of Data Mining and Bioinformatics, 2010 Vol.4 No.3, pp.348 - 355
Published online: 02 Jun 2010 *
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