Skip to main content

Table 8 The number of clusters identified by m AP -KL for several top N ranked genes compared to three other FS methods (the number of genes per subset is in parenthesis)

From: Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data

    

Identified Clusters

 

DEGs

   

Top ranked genes (mAP-KL)

   

eBayes

maxT

RF-MDA

 

50

100

150

200

250

300

350

400

450

500

   

50

5 (5)

6 (6)

4 (4)

3 (3)

3 (3)

3 (3)

2 (2)

2 (2)

2 (2)

2 (2)

2 (20)

2 (20)

5 (20)

100

3 (3)

5 (5)

6 (6)

6 (14)

5 (5)

4 (4)

4 (4)

4 (4)

3 (3)

3 (3)

1 (20)

2 (20)

5 (20)

200

3 (3)

6 (6)

8 (8)

10 (10)

11 (11)

11 (11)

8 (8)

5 (5)

5 (5)

5 (5)

1 (20)

2 (20)

10 (20)

300

3 (3)

6 (6)

8 (8)

10 (10)

13 (13)

15 (15)

11 (11)

7 (7)

7 (7)

6 (6)

2 (20)

4 (20)

10 (20)

400

4 (4)

6 (6)

8 (8)

11 (11)

13 (13)

15 (15)

18 (18)

20 (20)

21 (23)

10 (10)

3 (30)

4 (30)

16 (30)

500

4 (4)

7 (7)

9 (9)

11 (11)

13 (13)

16 (16)

18 (18)

20 (20)

23 (23)

25 (25)

3 (30)

4 (30)

19 (30)