Unsupervised machine learning and geometric morphometrics as tools for the identification of inter and intraspecific variations in the Anopheles Maculipennis complex

Author:

Bellin NicolòORCID,Calzolari Mattia,Magoga Giulia,Callegari Emanuele,Bonilauri Paolo,Lelli Davide,Dottori Michele,Montagna Matteo,Rossi Valeria

Publisher

Elsevier BV

Subject

Infectious Diseases,Parasitology,Insect Science,Veterinary (miscellaneous)

Reference83 articles.

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4. New Cytogenetic Photomap and Molecular Diagnostics for the Cryptic Species of the Malaria Mosquitoes Anopheles messeae and Anopheles daciae from Eurasia;Artemov;Insects,2021

5. Phenotypic variation among local populations of phlebotomine sand flies (Diptera: psychodidae) in southern Turkey;Aytekin;J. Vector Ecol.,2007

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