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Table 3 Translation initiation site prediction correctness (TIS correctness) and complete/incomplete classifi-cation accuracy (Gene Type Accuracy) of the Neural Net and MetaGene according to GenBank annotation. Performance was measured on 700 bp fragments that were randomly excised from each test genome to 5-fold coverage (mean and standard deviation for 10 replicates per species are given).

From: Gene prediction in metagenomic fragments: A large scale machine learning approach

  TIS CORRECTNESS GENE TYPE ACCURACY
Species Neural Net MetaGene Neural Net MetaGene
Archaeoglobus fulgidus 69.8 ± 0.32 73.6 ± 0.32 98.1 ± 0.05 97.2 ± 0.07
Methanococcus jannaschii 69.4 ± 0.52 73.3 ± 0.52 99.0 ± 0.09 97.6 ± 0.12
Natronomonas pharaonis 75.2 ± 0.58 82.9 ± 0.28 96.9 ± 0.16 97.6 ± 0.09
Buchnera aphidicola 86.5 ± 0.40 88.6 ± 0.64 99.1 ± 0.09 98.3 ± 0.21
Burkholderia pseudomallei 70.1 ± 0.45 73.0 ± 0.28 97.6 ± 0.08 96.9 ± 0.09
Bacillus subtilis 79.7 ± 0.32 66.1 ± 0.42 98.6 ± 0.05 97.0 ± 0.08
Corynebacterium jeikeium 78.2 ± 0.49 73.4 ± 0.68 98.1 ± 0.08 96.6 ± 0.11
Chlorobium tepidum 68.1 ± 0.46 71.9 ± 0.45 98.1 ± 0.08 96.7 ± 0.13
Echerichia coli 84.5 ± 0.31 78.2 ± 0.15 98.7 ± 0.06 97.0 ± 0.08
Helicobacter pylori 87.3 ± 0.40 77.1 ± 0.33 99.2 ± 0.09 96.4 ± 0.16
Pseudomonas aeruginosa 78.4 ± 0.22 81.0 ± 0.36 97.7 ± 0.03 97.2 ± 0.07
Prochlorococcus marinus 86.6 ± 0.40 88.6 ± 0.47 99.0 ± 0.07 97.8 ± 0.10
Wolbachia endosymbiont 79.3 ± 0.77 79.9 ± 0.42 98.7 ± 0.13 96.9 ± 0.17