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Table 1 Gap optimization of the existing scoring function

From: Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment

 

Open

Extension

Sensitivity

Precision

Cosine

− 1.0

− 0.1

0.6837

0.6550

CC

− 1.5

− 0.1

0.6882

0.6613

  1. Open and extension indicate optimized open- and extension-gap penalties, respectively, and cosine and CC represent aligners using cosine similarity and correlation coefficient as scoring functions, respectively