Kazantseva, A.V.,
Davydova, Yu. D.,
Enikeeva, R.F.,
Mustafin, R.N.,
Lobaskova, M.M.,
Malykh, S.B.,
Khusnutdinova, E.K. (2022) . Together with genetic variants, the examined regression
models included various sociodemographic parameters
Nazarova, Liliia Sh.,
Danilko, Ksenia V.,
Malievsky, Viktor A.,
Karimov, Denis O.,
Bakirov, Akhat B.,
Viktorova, Tatyana V. (2022) . Results — In general analysis, the best
model of gene-gene interaction in JIA was a combination of IL1B rs
Beylerli, Ozal,
Beilerli, Aferin,
Shumadalova, Alina,
Wang, Xiaoxiong,
Yang, Mingchun,
Sun, Hanran,
Teng, Lei (2022) in glioblastoma
models by modulating signaling pathways involved in angiogenesis, apoptosis, chemoresistance
Galiakhmetova, L.K.,
Bachurin, D.V.,
Korznikova, E.A.,
Bayazitov, A.M.,
Kudreyko, A.A.,
Dmitriev, S.V. (2022) by means of
the chain
model with reduced number of degrees of freedom. One or two compressive shock waves
Qian, J.,
Zhuang, F.,
Chen, Y.,
Fan, X.,
Wang, J.,
Wang, Z.,
Wang, Y.,
Xu, M.,
Samorodov, A.V.,
Pavlov, V.N.,
Liang, G. (2022) to construct DCM
model in wild-type and MD2 knockout mice. The collected heart samples were subjected to RNA
He, X.,
Wang, Z.,
Li, Y.,
Khazhina, S.,
Du, W.,
Wang, J.,
Wang, W. (2022) at the parallel machine scheduling problem. Based on this, a corresponding mixed integer programming
model lncRNAs tested as potential therapeutic and diagnostic molecules in cells and animal
model experiments
Ivanova, E.,
Gilyazova, I.,
Pavlov, V.,
Izmailov, A.,
Gimalova, G.,
Karunas, A.,
Prokopenko, I.,
Khusnutdinova, E. (2022) from the ccRCC association analysis. The final weighted and unweighted PGS
models were based on 21 SNPs
two interatomic potentials (Ti_EAM and Ti_MEAM). The eight DNVMs
modeled with Ti_EAM potential