Kazantseva, Anastasiya,
Davydova, Yuliya,
Enikeeva, Renata,
Mustafin, Rustam,
Malykh, Sergey,
Lobaskova, Marina,
Kanapin, Alexander,
Prokopenko, Inga,
Khusnutdinova, Elza (2023) to address the “missing heritability” problem. We designed regression
models, which included PGS using 27
countries using jaw
models and simulators. The ongoing development and assimilation of practical skills
be used as a cell
model of a living organism, as a biosensor or for molecular imaging to study the issues
, and the available diagnostic equipment. The interaction of real participants in the process can be
modeledSolnyshkina, O. A.,
Fatkullina, N. B.,
Bulatova, A. Z.,
Kireev, V. N.,
Bilyalov, A. R.,
Akhatov, I. S.,
Pavlov, V. N. (2023) for several temperature regimes.
The validation of the realized
model is confirmed by comparing the numerical
Timasheva, Y.,
Balkhiyarova, Z.,
Avzaletdinova, D.,
Rassoleeva, I.,
Morugova, T.V.,
Korytina, G.,
Prokopenko, I.,
Kochetova, O. (2023) ability of the
model containing polygenic scores for the variants associated with T2D in our dataset
classification
model based on the logistic regression method has been proposed and developed. The developed
Machine Learning Methods and
Models for Recognizing Lung Inhomogeneity from Computed Tomography