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Table 3 Weights of the linear model trained on the sparse-21 representation.

From: An accurate and interpretable model for siRNA efficacy prediction

Feature

Weight

Feature

Weight

Feature

Weight

Feature

Weight

A1

10.94

C1

0

G1

-2.30

U1

18.39

A2

0

C2

-6.67

G2

-7.28

U2

0.97

A3

1.10

C3

-2.74

G3

-1.23

U3

0

A4

1.19

C4

-1.67

G4

-1.25

U4

0

A5

0.60

C5

-0.78

G5

0

U5

1.32

A6

-0.25

C6

0

G6

0

U6

3.10

A7

0.11

C7

-5.86

G7

-2.02

U7

0

A8

0

C8

0

G8

-1.42

U8

0.95

A9

0

C9

0

G9

-0.55

U9

1.17

A10

3.85

C10

-0.50

G10

0

U10

0

A11

1.69

C11

-0.08

G11

0

U11

1.99

A12

0

C12

0

G12

-0.59

U12

0.01

A13

0.88

C13

-1.06

G13

-1.81

U13

0

A14

1.09

C14

0

G14

-4.37

U14

1.04

A15

0

C15

0.48

G15

0

U15

0

A16

1.35

C16

0

G16

-0.24

U16

0

A17

0

C17

0

G17

-1.70

U17

0.62

A18

-3.61

C18

2.99

G18

0

U18

-0.04

A19

-5.04

C19

6.31

G19

5.32

U19

0

A20

-0.91

C20

-2.64

G20

0

U20

0.65

A21

-0.05

C21

-5.83

G21

1.56

U21

0

  1. This table gives the weights of the linear model trained on the sparse-21 representation to predict the siRNA efficacy (offset = 66.9).