A Classification-Based Machine Learning Approach for the Analysis of Genome-Wide Expression Data

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Figure 2.
Figure 2.

Hierarchical clustering of AML samples using the gene set identified byThomas et al. (2001) as those exhibiting the most significant difference between successes and failures (no transformation, distance = 1 − Pearson correlation coefficient). This gene set fails to distinguish between successes and failures when the data are log-transformed as well (not shown).

This Article

  1. Genome Res. 13: 503-512

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