Chu, Jiawei,
Kan, Xiu,
Che, Yan,
Song, Wanqing,
Aleksey, Kudreyko,
Dong, Zhengyuan (2024) , and eliminating invalid characters. Subsequently, a medical entity recognition
model is developed to identify
ASSOCIATIONS OF THE NRF2/KEAP1 PATHWAY AND ANTIOXIDANT DEFENSE GENE POLYMORPHISMS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASEKorytina, G.F.,
Akhmadishina, L.Z.,
Aznabaeva, Y.G.,
Kochetova, O.V.,
Zagidullin, N.S.,
Kzhyshkowska, J.G.,
Zagidullin, S.Z.,
Viktorova, T.V. (2019) population). Logistic regression was used to detect the association of SNPs in different
models. Linear
KORYTINA, G.F.,
AKHMADISHINA, L.Z.,
KOCHETOVA, O.V.,
VIKTOROVA, T.V.,
AZNABAEVA, Y.G.,
ZAGIDULLIN, N.SH.,
ZAGIDULLIN, SH.Z.,
KZHYSHKOWSKA, J.G (2019) ). Logistic regression was used to detect the association of SNPs in different
models. Linear regression