Unsupervised machine learning and geometric morphometrics as tools for the identification of inter and intraspecific variations in the Anopheles Maculipennis complex
Bellin N, Calzolari° M, Magoga G, Callegari° E, Bonilauri° P, Lelli° D, Dottori° M, Montagna M, Rossi V
Acta Trop . – Vol. 233 (2022) . – Article no. 106585 (10 p). – 83 bib
ultimo accesso 19/08/2022 https://doi.org/10.1016/j.actatropica.2022.106585
Nr. Estr. 8953
