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L Ein-Dor et al.
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Prediction of cancer outcome with microarrays: a multiple random validation strategy
S Michiels et al.
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Regularization and variable selection via the elastic net
H Zou et al.
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Y Pawitan et al.
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Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
MH Dai et al.
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Selection bias in gene extraction on the basis of microarray gene-expression data
C Ambroise et al.
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Gene selection for cancer classification using support vector machines
I Guyon et al.
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