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

Summary

This is a publication. If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.

Authors: Paola Bonizzoni, Matteo Costantini, Clelia De Felice, Alessia Petescia, Yuri Pirola, Marco Previtali, Raffaella Rizzi, Jens Stoye, Rocco Zaccagnino, Rosalba Zizza

Journal title: Information Sciences

Journal number: 607

Journal publisher: Elsevier BV

Published year: 2022

Published pages: 458-476

DOI identifier: 10.1016/j.ins.2022.06.005

ISSN: 0020-0255