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Table 3 Prediction settings and results for the nine gene functions.

From: Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages

  Terminase Portal Head Tail Tape measure Prohead protease Lysin Holin Integrase
# positive samples 93 83 26 26 21 11 25 69 67
# negative samples 308 195 107 133 82 28 45 213 102
# clusters 17 15 7 6 7 4 6 16 12
Prediction Accuracy at t = 0.1(%) 86.9 85.89 67.87 83.33 75.68 66.67 100 79.5 82.18
  1. The total number (#) of positive training samples, negative training samples and the number of clusters involved with each gene class are shown. Accuracy values are computed using leave-one-out cross validations. K-Means adaptive threshold t = 0.1. GRBF kernel's σ = 2 for Head and Tail; σ = 11.3 for all other cases.