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Table 2 The features identified by the proposed method in both views in the simulation

From: Multi-view singular value decomposition for disease subtyping and genetic associations

  

Phenotypic view

Genotypic view

  

TF

TPF

FPF

TF

TPF

FPF

Subtype 1

e=1

3

3

1

10

10

4

 

e=0.8

 

3

1

 

10

5

 

e=0.6

 

3

2

 

10

15

 

e=0.4

 

3

0

 

10

10

Subtype 2

e=1

3

3

0

10

10

4

 

e=0.8

 

3

0

 

10

4

 

e=0.6

 

3

0

 

10

2

 

e=0.4

 

3

0

 

10

5

  1. The parameter e reflects the level of genotypic effect to the phenotypic variation in the simulated data. TF is the number of True Features used in the simulation to specify a subject cluster. TPF (True Positive Features) is the number of features correctly identified. FPF (False Positive Features) is the number of features incorrectly identified.