Research Article
Gene Prediction in Metagenomic Fragments with Deep Learning
Table 2
The overall accuracy (%) of Orphelia, FragGeneScan, MGC, MetaGUN, Meta-MFSVM, and Meta-MFDL on the
700 independent testing dataset.
| Species | Orphelia | Meta-MFSVM | MGC | FragGeneScan | MetaGUN | Meta-MFDL |
| A. fulgidus | 89.49 | 92.25 | 92.47 | 93.14 | 94.30 | 94.70 | N. pharaonis | 84.73 | 89.87 | 89.90 | 91.67 | 94.40 | 94.12 | M. jannaschii | 86.13 | 91.68 | 91.69 | 95.91 | 95.03 | 94.65 | B. aphidicola | 94.16 | 93.43 | 93.75 | 95.60 | 96.24 | 96.05 | B. pseudomallei | 88.19 | 90.71 | 90.76 | 91.53 | 94.13 | 94.15 | B. subtilis | 91.56 | 92.55 | 91.78 | 92.49 | 93.86 | 93.89 | C. jeikeium | 86.03 | 90.15 | 90.85 | 91.32 | 91.31 | 91.62 | C. tepidum | 83.59 | 88.48 | 88.43 | 88.07 | 90.68 | 90.66 | E. coli | 91.50 | 91.98 | 92.06 | 93.45 | 93.58 | 93.66 | H. pylori | 92.88 | 93.30 | 93.48 | 94.98 | 93.81 | 94.49 | P. aeruginosa | 85.05 | 92.42 | 92.47 | 94.42 | 94.03 | 93.89 | P. marinus | 89.16 | 91.24 | 91.36 | 90.82 | 93.73 | 93.88 | W. endosymbiont | 78.66 | 84.70 | 84.78 | 75.67 | 83.69 | 87.34 |
| Average | 87.78 | 90.98 | 91.06 | 91.47 | 92.98 | 93.31 |
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