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Table 3 Probe sets characteristics of the new NB-hypo-II signature.

From: Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients

Probe setsa

Rule IDb

Probe set relevancec

  

Good outcome

Poor outcome

200738_s_at

3

-0.49

0

202022_at

5

0.5

0

206686_at

2, 9

-0.48

0.26

209446_s_at

4

-0.25

0

217356_s_at

1, 7

-0.74

0.92

223172_s_at

4, 8, 9

-0.35

0.48

223193_x_at

5

-0.1

0

224314_s_at

6

-0.22

0

226452_at

l, 2, 8

-0.26

0.34

230630_at

3

0.13

0

236180_at

6

-0.25

0

  1. a Affymetrix probe sets belonging to NB-hypo-II signature.
  2. b Rule ID indicates the ID of the rules in which the probe set occurs (as illustrated in Table 2).
  3. c Relevance measures the importance of the features included into the rules.
  4. The relevance calculated for each outcome is shown.
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BMC Bioinformatics

ISSN: 1471-2105

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