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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