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A New
Regularized Least Squares Support Vector Regression for Gene Selection
Pei-Chun
Chen1 , Su-Yun Huang2 , Wei J. Chen3,4,
and Chuhsing K. Hsiao3,4,*
| 1 |
Bioinformatics and Biostatistics Core
Laboratory, National Taiwan University, Taipei, Taiwan |
| 2 |
Institute of Statistical Science, Academia
Sinica, Taipei, Taiwan |
| 3 |
Department of Public Health, College of
Public Health, National Taiwan University, Taipei, Taiwan |
| 4 |
Institute of Epidemiology, College of
Public Health, National Taiwan University, Taipei, Taiwan |
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For MATLAB users:
Download
the zipped file, RLS-SVR-cod.zip, unzip it, and place the files under
the current directory of MATLAB. More details can be found in
"Mreadme.pdf" in the following links.
For R users:
Copy
the gene_select.txt (or gene_select.doc) file and paste it to the R
command window. The main function is var_select. For more usage, please
consult the description file.
Citing reference:
Chen,
P.C., Huang, S.Y., Chen, W.J., and Hsiao, C.K.* (2009) "A new
regularized least squares support vector regression for gene
selection," BMC Bioinformatics, 10:44.
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