Skip to main content

Table 5 Weights of the linear model trained on the composite-19/21 representation.

From: An accurate and interpretable model for siRNA efficacy prediction

Feature

Weight

Feature

Weight

Feature

Weight

Feature

Weight

A

0

C

0

G

0

U

0

AA

0

AC

0.03

AG

0

AU

0

CA

0

CC

-0.38

CG

-0.26

CU

0

GA

0

GC

0

GG

-1.10

GU

0

UA

0.61

UC

0.33

UG

0

UU

0

AAA

-0.75

AAC

1.76

AAG

0.22

AAU

0

ACA

1.64

ACC

0

ACG

-1.09

ACU

1.08

AGA

-0.30

AGC

0.21

AGG

0

AGU

0.10

AUA

0

AUC

0.61

AUG

-0.24

AUU

0

CAA

0

CAC

0

CAG

0

CAU

0

CCA

0

CCC

-2.81

CCG

0

CCU

0

CGA

-0.63

CGC

0

CGG

-0.11

CGU

0

CUA

0

CUC

-1.12

CUG

0

CUU

0

GAA

0

GAC

0

GAG

0

GAU

-0.69

GCA

0

GCC

-2.26

GCG

-1.67

GCU

0

GGA

0

GGC

-2.08

GGG

-0.97

GGU

0

GUA

0

GUC

0.20

GUG

0

GUU

-1.20

UAA

0

UAC

0

UAG

1.71

UAU

0.13

UCA

0

UCC

0

UCG

2.51

UCU

1.78

UGA

0.92

UGC

0

UGG

0

UGU

0.53

UUA

0

UUC

0

UUG

1.72

UUU

-0.10

A1

10.40

C1

0

G1

-1.90

U1

17.23

A2

0

C2

-5.72

G2

-5.56

U2

0.71

A3

0.76

C3

-1.72

G3

0

U3

0

A4

1.40

C4

-0.35

G4

0

U4

0

A5

0

C5

-0.31

G5

0

U5

0

A6

-1.78

C6

0

G6

0

U6

0.91

A7

0.22

C7

-4.16

G7

-0.28

U7

0

A8

-0.45

C8

0.04

G8

-0.23

U8

0

A9

-1.03

C9

0.51

G9

-0.06

U9

0

A10

2.81

C10

0

G10

0.96

U10

-0.96

A11

0

C11

0

G11

0

U11

0.01

A12

0

C12

0.20

G12

0

U12

0

A13

0.92

C13

0

G13

-0.31

U13

0

A14

0.05

C14

0

G14

-3.76

U14

0

A15

-1.48

C15

0.50

G15

0

U15

-1.01

A16

0.27

C16

0

G16

0

U16

-1.36

A17

0

C17

0.74

G17

-0.08

U17

0

A18

-4.92

C18

2.92

G18

0

U18

-1.43

A19

-5.39

C19

7.32

G19

5.26

U19

0

A20

-1.16

C20

-2.77

G20

0

U20

0.49

A21

0

C21

-5.90

G21

1.46

U21

0

  1. This table gives the weights of the linear model trained on the composite-19/21 representation of the siRNA (offset = 69.3).