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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).