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Jose Baselga et al.
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Mary V. Relling et al.
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Jesse S. Boehm et al.
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A comprehensive transcriptional portrait of human cancer cell lines
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Y. Zheng et al.
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Takaya Saito et al.
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Y. Huh et al.
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Mehmet Goenen et al.
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Lindsay C. Stetson et al.
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Trish P. Tran et al.
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Similarity network fusion for aggregating data types on a genomic scale
Bo Wang et al.
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Paul Geeleher et al.
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Heewon Park et al.
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George R. Blumenschein et al.
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Bias in error estimation when using cross-validation for model selection
S Varma et al.
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Assessing the accuracy of prediction algorithms for classification: an overview
P Baldi et al.
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