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Table 1 Results from the “Best et al.” experimental dataset; methods are sorted by lowest “Median position”. “Median position” indicates the median position of the 83 validated genes in the ranking of 10,000 analysed genes; AUC refers to the area under the ROC curve; pAUC 0.1 and 0.2 represent the partial AUC of levels 0.1 and 0.2, respectively; “top 100” and “top 200” report the number of validated genes (82 in total) in the 100 and 200 genes with lowest FDR from each method; “GO 0.01” and “GO 0.05” indicate the fraction of “validated GO terms” found by each method, when considering FDR thresholds 0.01 and 0.05, respectively

From: BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty

 

Median position

AUC

pAUC 0.1

pAUC 0.2

Top 100

Top 200

GO 0.01

GO 0.05

BANDITS_inv

596

0.81

0.04

0.11

16

24

0.32

0.35

BANDITS

673

0.80

0.04

0.11

18

25

0.34

0.33

cjBitSeq

900

0.79

0.04

0.10

9

20

0.15

0.34

rats

942

0.80

0.03

0.10

10

16

0.34

0.34

DEXSeq_TECs

968

0.79

0.03

0.09

11

20

0.33

0.30

DEXSeq_ECCs

1039

0.78

0.03

0.10

12

20

0.30

0.29

BayesDRIMSeq

1231

0.74

0.02

0.08

6

9

0.24

0.27

DEXSeq

1348

0.78

0.03

0.08

7

12

0.26

0.29

limma

1556

0.74

0.03

0.08

9

13

0.33

0.29

SUPPA2

2110

0.67

0.02

0.07

11

13

0.22

0.27

DRIMSeq

3248

0.59

0.03

0.07

14

20

0.30

0.27

cjBitSeq_inv

5146

0.59

0.02

0.05

12

15

0.20

0.35

BayesDRIMSeq_inv

5362

0.57

0.02

0.04

3

10

0.14

0.18