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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)