KHAZHIEV, S.Y.,
KHUSAINOV, M.A.,
KUZNETSOV, V.V.,
KHALIKOV, R.A.,
KATAEV, V.A.,
TYUMKINA, T.V.,
MESHCHERYAKOVA, E.S.,
KHALILOV, L.M. (2020) , and the potential barrier to interconversion in different solvents was estimated by the cluster
modelNAZAROVA, L.SH.,
DANILKO, K.V.,
MALIEVSKY, V.A.,
KARIMOV, D.O.,
BAKIROV, A.B.,
VIKTOROVA, T.V. (2020) was conducted by the real-time polymerase
chain reaction. Results: Associations with an altered risk
is proposed and a
model for finding pathological formations based on machine learning methods is developed