Title: Extreme value distribution based gene selection criteria for discriminant microarray data analysis using logistic regression
Author(s): Li WT, Sun FZ, Grosse I
Source: JOURNAL OF COMPUTATIONAL BIOLOGY 11 (2-3): 215-226 2004
citation information (aug 2007, from ISI web of knowledge)

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3. Mozina M, Demsar J, Zabkar J, et al.
Why is rule learning optimistic and how to correct it 
LECTURE NOTES IN COMPUTER SCIENCE 4212: 330-340 2006

2
      Baty F, Bihl MP, Perriere G, et al.
      Optimized between-group classification: a new jackknife-based gene
      selection procedure for genome-wide expression data 
      BMC BIOINFORMATICS 6: 1-12 SEP 28 2005 

1
      Huang XH, Pan W, Han XQ, et al.
      Borrowing information from relevant microarray studies for sample
      classification using weighted partial least squares 
      COMPUTATIONAL BIOLOGY AND CHEMISTRY 29 (3): 204-211 JUN
      2005