Mimic: A Unified Neural Network Architecture for Modelling Genomic Sequences and Module-level Comparison
There exist a wide range of Neural Networks (NNs) that have modelled genomic sequences well. The architectures of these NNs consist of three steps: k-mer embedding, sequence embedding, and output mapping. The NNs are primarily differentiated from one another by their sequence embedding components. Although different NNs have been compared before, these comparisons are often either limited or…
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