Authoritative subspecies diagnosis tool for European honey bees based on ancestry informative SNPs.
Momeni J, Parejo M, Nielsen RO, Langa J, Montes I, Papoutsis L, Farajzadeh L, Bendixen C, Căuia E, Charrière JD, Coffey MF, Costa C, Dall'Olio R, De la Rúa P, Drazic MM, Filipi J, Galea T, Golubovski M, Gregorc A, Grigoryan K, Hatjina F, Ilyasov R, Ivanova E, Janashia I, Kandemir I, Karatasou A, Kekecoglu M, Kezic N, Matray ES, Mifsud D, Moosbeckhofer R, Nikolenko AG, Papachristoforou A, Petrov P, Pinto MA, Poskryakov AV, Sharipov AY, Siceanu A, Soysal MI, Uzunov A, Zammit-Mangion M, Vingborg R, Bouga M, Kryger P, Meixner MD, Estonba A.
Momeni J, et al.
BMC Genomics. 2021 Feb 3;22(1):101. doi: 10.1186/s12864-021-07379-7.
BMC Genomics. 2021.
PMID: 33535965
Free PMC article.
The best ML model was Linear Support Vector Classifier (Linear SVC) which correctly assigned most individuals to one of the 14 subspecies or different genetic origins with a mean accuracy of 96.2% 0.8 SD. ...
The best ML model was Linear Support Vector Classifier (Linear SVC) which correctly assigned most individuals to one of the 14 subspe …