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

Bonizzoni P, Costantini M, De Felice C, Petescia A, Pirola Y, Previtali M, Rizzi R, Stoye J, Zaccagnino R, Zizza R (2022)
Information Sciences 607: 458-476.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Bonizzoni, Paola; Costantini, Matteo; De Felice, Clelia; Petescia, Alessia; Pirola, Yuri; Previtali, Marco; Rizzi, Raffaela; Stoye, JensUniBi ; Zaccagnino, Rocco; Zizza, Rosalba
Erscheinungsjahr
2022
Zeitschriftentitel
Information Sciences
Band
607
Seite(n)
458-476
ISSN
0020-0255
Page URI
https://pub.uni-bielefeld.de/record/2963777

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Bonizzoni P, Costantini M, De Felice C, et al. Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches. Information Sciences. 2022;607:458-476.
Bonizzoni, P., Costantini, M., De Felice, C., Petescia, A., Pirola, Y., Previtali, M., Rizzi, R., et al. (2022). Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches. Information Sciences, 607, 458-476. https://doi.org/10.1016/j.ins.2022.06.005
Bonizzoni, Paola, Costantini, Matteo, De Felice, Clelia, Petescia, Alessia, Pirola, Yuri, Previtali, Marco, Rizzi, Raffaela, Stoye, Jens, Zaccagnino, Rocco, and Zizza, Rosalba. 2022. “Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches”. Information Sciences 607: 458-476.
Bonizzoni, P., Costantini, M., De Felice, C., Petescia, A., Pirola, Y., Previtali, M., Rizzi, R., Stoye, J., Zaccagnino, R., and Zizza, R. (2022). Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches. Information Sciences 607, 458-476.
Bonizzoni, P., et al., 2022. Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches. Information Sciences, 607, p 458-476.
P. Bonizzoni, et al., “Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches”, Information Sciences, vol. 607, 2022, pp. 458-476.
Bonizzoni, P., Costantini, M., De Felice, C., Petescia, A., Pirola, Y., Previtali, M., Rizzi, R., Stoye, J., Zaccagnino, R., Zizza, R.: Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches. Information Sciences. 607, 458-476 (2022).
Bonizzoni, Paola, Costantini, Matteo, De Felice, Clelia, Petescia, Alessia, Pirola, Yuri, Previtali, Marco, Rizzi, Raffaela, Stoye, Jens, Zaccagnino, Rocco, and Zizza, Rosalba. “Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches”. Information Sciences 607 (2022): 458-476.
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