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One is the integrated MSA creation, pairing and selection mechanism of DeepMSA2-Multimer, and the second is the inclusion of the additional huge in-house metagenomics databases. To assess the relative contributions of these factors, in Fig. 5b we compare the complex modeling performance of ...
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Henceforth, the model requires more memory to house for the increase in number of parameters. To combat this, He et al. [18] proposes the use of a bottleneck architecture to perform dimension reduction through pointwise and depthwise convolution while adding skip connections to retain model ...