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Table 1 List of simulation data and clustering results by two algorithm

From: Mini-clusters with mean probabilities for identifying effective siRNAs

 

Results

Group X

Sequences

P 1

P 2

P 3

P 4

P 5

Q(4)

RMP-MiC

K-mean

a1

UAAUC

0.75

0.75

0.25

0.25

0.25

0.0088

1

1

a2

UACCG

0.75

0.75

0.25

0.25

0.25

0.0088

1

1

a3

UAGAA

0.75

0.75

0.25

0.25

0.25

0.0088

1

1

a4

UUCCG

0.75

0.25

0.25

0.25

0.25

0.0029

2

2

a5

UUGAA

0.75

0.25

0.25

0.25

0.25

0.0029

2

2

a6

UUUGU

0.75

0.25

0.25

0.25

0.25

0.0029

2

2

a7

CGAUC

0.25

1

0.25

0.25

0.25

0.0039

3

2

a8

CGCCG

0.25

1

0.25

0.25

0.25

0.0039

3

2

a9

CGGAA

0.25

1

0.25

0.25

0.25

0.0039

3

2

a10

CGUGU

0.25

1

0.25

0.25

0.25

0.0039

3

2

Group Y

 

b1

AACGA

0

0

0.25

0.25

0.25

0

4

2

b2

AUGGA

0

0

0.25

0.25

0.25

0

4

2

b3

UCAGC

0.75

0

0.25

0.25

0.25

0

4

2

b4

UGUUC

0.75

0

0.25

0.25

0.25

0

4

2

b5

UCCUG

0.75

0

0.25

0.25

0.25

0

4

2

b6

CCAAA

0.25

0

0.25

0.25

0.25

0

4

2

b7

CCUAC

0.25

0

0.25

0.25

0.25

0

4

2

  1. P1 is the probabilities of the leftmost nucleotides. P i (i = 2,3,4,5) is conditional probabilities of the i-th position. Q(4) is the the relative mean probabilities of sequences.