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Fig. 3 | BMC Bioinformatics

Fig. 3

From: AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning

Fig. 3

Comparison of spreading pattern visualizations. 2D embedding spaces of baselines and AutoCoV are illustrated on a the spatial patterns and b the temporal patterns. The data fold with the median performance out of 10 folds was used as input to AutoCoV for the figures. The axes of each figure are set by the axes of training data

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BMC Bioinformatics

ISSN: 1471-2105

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