Literature DB >> 20681484

LIBGS: a MATLAB software package for gene selection.

Yi Zhang1, Dingding Wang, Tao Li.   

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: 1) Seven new gene selection algorithms implemented using MATLAB. 2) MATLAB interface for Rankgene. 3) MATLAB interface for LIBSVM and WEKA. 4) Programs for converting data formats. 5) A collection of six popular gene expression data sets. These features make LIBGS a useful tool in gene expression analysis and feature selection.

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Year:  2010        PMID: 20681484     DOI: 10.1504/ijdmb.2010.033525

Source DB:  PubMed          Journal:  Int J Data Min Bioinform        ISSN: 1748-5673            Impact factor:   0.667


  1 in total

1.  Candidate pathways and genes for nasopharyngeal carcinoma based on bioinformatics study.

Authors:  Jinhui Chen; Rui Yang; Wei Zhang; Yongping Wang
Journal:  Int J Clin Exp Pathol       Date:  2015-02-01
  1 in total

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