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Fig. 3 | BMC Bioinformatics

Fig. 3

From: HostNet: improved sequence representation in deep neural networks for virus-host prediction

Fig. 3

Subsequencing Methods. a The Repeat and Cut method repeats the sequence itself, with or without gaps. The short sequences thus reach a similar length to long sequences. The resulting sequences are cut based on the required subsequence length. b The Adaptive Sliding Window method uses a sliding window with a variable step to get the subsequences with the required length. ASW covers more sequence context than RC due to the coverage of subsequences

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