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Table 1 Algorithm power

From: BioTile, A Perl based tool for the identification of differentially enriched regions in tiling microarray data

Sample size

BioTile

TileMap

CHARM

BioTile vs. TileMap

BioTile vs. CHARM

5

0.06

0.56

0.09

OR = 0.05, p = 4.6 × 10-182

OR = 0.60, p = 1.2 × 10-03

10

0.83

0.48

0.27

OR = 5.45, p = 5.1 × 10-81

OR = 14.66, p = 1.1 × 10-196

15

0.89

0.48

0.44

OR = 8.34, p = 1.7 × 10-112

OR = 9.83, p = 5.9 × 10-132

20

0.93

0.67

0.49

OR = 5.17, p = 7.7 × 10-52

OR = 11.70, p = 4.2 × 10-133

DMR length (# probes)

     

5

0.82

0.25

0.15

OR = 11.39, p = 8.9 × 10-29

OR = 20.14, p = 7.2 × 10-40

10

0.91

0.60

0.24

OR = 3.64, p = 1.1 × 10-07

OR = 19.92, p = 2.6 × 10-39

15

0.93

0.72

0.39

OR = 4.86, p = 1.0 × 10-08

OR = 17.82, p = 2.6 × 10-32

20

0.97

0.78

0.62

OR = 9.25, p = 2.4 × 10-09

OR = 22.21, p = 2.4 × 10-22

25

0.95

0.83

0.69

OR = 3.65, p = 1.2 × 10-04

OR = 7.12, p = 3.5 × 10-11

30

0.99

0.84

0.77

OR = 18.65, p = 2.2 × 10-08

OR = 29.94, p = 2.9 × 10-13

Log 2 fold change

     

0.1

0.74

0.36

0.35

OR = 4.93, p = 7.7 × 10-19

OR = 5.18, p = 7.0 × 10-20

0.5

0.90

0.58

0.36

OR = 7.26, p = 1.1 × 10-14

OR = 18.17, p = 1.8 × 10-33

0.75

0.97

0.57

0.37

OR = 20.17, p = 1.1 × 10-10

OR = 41.03, p = 2.4 × 10-18

1

0.97

0.83

0.50

OR = 7.90, p = 5.0 × 10-08

OR = 43.53, p = 3.5 × 10-41

1.5

1.00

0.85

0.63

OR = 55.96, p = 2.9 × 10-14

OR = 194.39, p = 1.9 × 10-41

2

1.00

0.88

0.75

OR = Inf, p = 1.4 × 10-03

OR = Inf, p = 4.0 × 10-07

  1. A table depicting the power of each algorithm to identify ‘hidden’ DMRs inserted into the simulated data matrix. Fisher’s odds ratios over 1 denote a higher proportion of DMRs identified by BioTile relative to TileMap and CHARM, respectively.