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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).