Classical and Bayesian predictions applied to Bacillus toxin production.

Ennouri, Karim; Ben Ayed, Rayda; Mazzarello, Maura; Ottaviani, Ennio; Hertelli, Fathi; Azzouz, Hichem

Ennouri, Karim; Ben Ayed, Rayda; Mazzarello, Maura; Ottaviani, Ennio; Hertelli, Fathi; Azzouz, Hichem.

Afiliación

Ennouri K; Centre of Biotechnology of Sfax, 3038, Sfax, Tunisia. 1karimennouri1@gmail.com.
Ben Ayed R; Centre of Biotechnology of Sfax, 3038, Sfax, Tunisia.
Mazzarello M; OnAir s.r.l.-26, Via Carlo Barabino, Genoa, Italy.
Ottaviani E; OnAir s.r.l.-26, Via Carlo Barabino, Genoa, Italy.
Hertelli F; Centre of Biotechnology of Sfax, 3038, Sfax, Tunisia.
Azzouz H; Centre of Biotechnology of Sfax, 3038, Sfax, Tunisia.

3 Biotech ; 6(2): 206, 2016 Dec.

Article en En | MEDLINE | ID: mdl-28330277

Palabras clave

Bacillus thuringiensis; Bayesian method; Delta-endotoxins; Hadamard matrices; Least square method; Mean square error

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: 3 Biotech Año: 2016 Tipo del documento: Article País de afiliación: Túnez Pais de publicación: Alemania

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