Metagenomic sequence classification based on local sensitive hashing and Bi-LSTM
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Current metagenomic classification methods are limited by short k-mer lengths and database dependency, resulting in insufficient taxonomic resolution at the species and genus level. This study proposes the first method integrating Locality-Sensitive Hashing (L... ...
