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Table 4 Weights of the linear model trained on the spectral-19 representation.

From: An accurate and interpretable model for siRNA efficacy prediction

Feature

Weight

Feature

Weight

Feature

Weight

Feature

Weight

A

0

C

0

G

-1.77

U

5.12

AA

0

AC

7.32

AG

7.11

AU

0

CA

-3.50

CC

0

CG

0

CU

-1.51

GA

-4.46

GC

0

GG

0

GU

-7.44

UA

0.35

UC

10.21

UG

10.12

UU

0

AAA

0.25

AAC

11.41

AAG

8.90

AAU

1.14

ACA

0.25

ACC

4.61

ACG

2.59

ACU

-0.53

AGA

0

AGC

7.64

AGG

5.46

AGU

1.83

AUA

0

AUC

3.12

AUG

1.68

AUU

-3.19

CAA

-4.93

CAC

1.81

CAG

0

CAU

-5.77

CCA

-5.62

CCC

-1.87

CCG

1.88

CCU

-5.69

CGA

-6.02

CGC

1.61

CGG

0

CGU

-3.21

CUA

-9.14

CUC

-9.09

CUG

-7.04

CUU

-13.06

GAA

-5.03

GAC

2.67

GAG

1.67

GAU

-6.17

GCA

-4.31

GCC

0

GCG

0.63

GCU

-4.24

GGA

-2.27

GGC

1.23

GGG

0.69

GGU

-1.51

GUA

-4.20

GUC

-1.64

GUG

-2.00

GUU

-8.85

UAA

-0.55

UAC

5.03

UAG

7.17

UAU

0

UCA

-3.34

UCC

3.68

UCG

7.53

UCU

-0.82

UGA

0

UGC

3.70

UGG

2.87

UGU

0

UUA

-0.39

UUC

1.97

UUG

4.34

UUU

-3.85

  1. This table gives the weights of the linear model trained on the spectral-19 representation (offset = 39.3).