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

@article{Bonizzoni2022NumericLF,
  title={Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches},
  author={Paola Bonizzoni and Matteo Costantini and Clelia de Felice and Alessia Petescia and Yuri Pirola and Marco Previtali and Raffaella Rizzi and Jens Stoye and Rocco Zaccagnino and Rosalba Zizza},
  journal={Inf. Sci.},
  year={2022},
  volume={607},
  pages={458-476}
}

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