Table 8

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

Sakellariou et al.

Sakellariou et al. BMC Bioinformatics 2012 13:270   doi:10.1186/1471-2105-13-270

Open Data