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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).