Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches

Paola Bonizzoni, Matteo Costantini, Clelia De Felice +7

Feature embedding methods have been proposed in literature to represent sequences as numeric vectors to be used in some bioinformatics investigations, such as family classification…