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Table 2 Demonstration LAD model consisting of nine positive and seven negative patterns on the support set of six genes

From: Breast cancer prognosis by combinatorial analysis of gene expression data

Patterns

Definition of patterns

Patterns' coverages (prevalences) on training set

 

AF018081

NM_003239

NM_004035

Contig26768_RC

Contig15031_RC

Contig27639_RC

  
 

Attr. 1

Attr. 2

Attr. 3

Attr. 4

Attr. 5

Attr. 6

Positive prevalence

Negative prevalence

P1

 

≤-0.014

>-0.106

 

≤0.055

 

22 (64.71%)

0

P2

 

>-0.232, ≤0.0575

>-0.106

  

>-0.2305

17 (50%)

0

P3

 

≤-0.0945

  

≤0.0915

>-0.1555

13 (38.24%)

0

P4

>-0.12

>-0.1555, ≤-0.014

  

≤0.1145

 

12 (35.29%)

0

P5

>-0.12, ≤0.0055

≤0.0575

  

≤0.1485

 

11 (32.35%)

0

P6

>-0.2025

 

>-0.106, ≤0.0455

 

>-0.0065, ≤0.055

 

11 (32.35%)

0

P7

>-0.08

  

>-0.0345

 

>-0.1555, ≤0.1445

9 (26.47%)

0

P8

>0.071

 

>-0.106, ≤0.0775

  

>-0.1555

9 (26.47%)

0

P9

 

>-0.319

 

>0.035

 

>-0.1555, ≤0.1445

6 (17.65%)

0

N1

≤0.071

  

≤0.098

>0.0915

 

0

15 (34.09%)

N2

    

>0.1145

≤0.037

0

15 (34.09%)

N3

≤0.071

>0.0575

>-0.0635

   

0

14 (31.82%)

N4

  

≤-0.106

   

0

13 (29.55%)

N5

 

>-0.014

   

≤-0.1555

0

12 (27.27%)

N6

   

>-0.1335, ≤0.098

>0.055

≤0.037

0

11 (25%)

N7

 

>-0.319

 

>0.035

>0.055, ≤0.1485

 

0

7 (15.91%)

  1. LAD, logical analysis of data.