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Table 2 Number of clusters selected using different model selection criteria for the cranberry bean RNA-seq dataset for T1 to T6

From: A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data

Method

BIC

ICL

AIC

AIC3

Djump

DDSE

BIC

ICL

AIC

AIC3

Djump

DDSE

 

T1:G=1,…,11

T2:G=1,…,20

mixtures of MPLN

4

4

5

4

2

2

-

-

-

-

-

-

HTSCluster

11

11

11

11

8

8

20

20

20

20

11

11

Poisson.glm.mix, m = 1

11

11

11

11

2

7

20

20

20

20

9

9

Poisson.glm.mix, m = 2

11

11

11

11

8

8

20

20

20

20

8

8

Poisson.glm.mix, m = 3

11

11

11

11

8

8

20

20

20

20

12

10

MBCluster.Seq, Poisson

11

11

11

11

-

-

14

14

20

16

8

15

MBCluster.Seq, NB

2

2

2

2

-

-

2

2

2

2

7

14

 

T3:G=1,…,30

T4:G=1,…,40

HTSCluster

30

30

30

30

16

16

40

40

40

40

22

22

Poisson.glm.mix, m = 1

30

30

30

30

10

10

40

40

40

40

29

29

Poisson.glm.mix, m = 2

30

30

30

30

19

20

40

40

40

40

18

18

Poisson.glm.mix, m = 3

30

30

30

30

13

13

40

40

40

40

24

24

MBCluster.Seq, NB

2

2

2

2

7

19

2

2

2

2

22

22

 

T5:G=1,…,50

T6:G=1,…,100

HTSCluster

50

50

50

50

22

22

100

100

100

100

41

76

Poisson.glm.mix, m = 1

50

50

50

50

30

30

100

100

100

100

24

34

Poisson.glm.mix, m = 2

50

50

50

50

29

29

100

100

100

100

40

40

Poisson.glm.mix, m = 3

50

50

50

50

17

17

100

100

100

100

45

45

MBCluster.Seq, NB

2

2

2

2

22

30

2

2

2

2

42

47