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Fig. 1 | BMC Bioinformatics

Fig. 1

From: MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes

Fig. 1

k-mer size, coverage and sequence length analysis. F1 scores for error-free sequences and synthetic ONT reads. a MetageNN results by increasing k-mer size and sequence samples. b MetageNN results by coverage used. c MetageNN results for F1 scores when trained on different sequence lengths. The rows indicate which sequence length the model was trained on. The columns represent the test datasets for each sequence length

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