LIBGS: A MATLAB software package for gene selection
by Yi Zhang, Dingding Wang, Tao Li
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 4, No. 3, 2010

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.

Online publication date: Wed, 02-Jun-2010

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