Kazantseva, A.V.,
Davydova, Yu. D.,
Enikeeva, R.F.,
Takhirova, Z.R.,
Mustafin, R.N.,
Lobaskova, M.M.,
Malykh, S.B.,
Khusnutdinova, E.K. (2023) 12128707,
ATP2A1 rs8055138, EXOC4 rs1362739, and CSE1L rs6063353. Statistically significant differences (р
МОДЕЛИ БИНАРНОЙ КЛАССИФИКАЦИИ ДЛЯ ДИАГНОСТИКИ РАКА МОЛОЧНОЙ ЖЕЛЕЗЫ ПО ПОКАЗАТЕЛЯМ ЭКСПРЕССИИ ГЕНОВ использовании модели случайный лес по показателям экспрессии пяти генов: COL10A1, ING1,
ATP2B4, USP40, OXSR1.
вариантами генов AKAP13,
ATP11A, DPP9, DSP, IVD, IL1RN, FAM13A, MUC5B, SFTPC, SPPL2C, TERC, TERT, TOLLIP
Zhang, Lu,
Wang, Yi-ning,
Ju, Jia-ming,
Shabanova, Azaliia,
Li, Yue,
Fang, Ruo-nan,
Sun, Jia-bin,
Guo, Ying-ying,
Jin, Tong-zhu,
Liu, Yan-yan,
Li, Tian-yu,
Shan, Hong-li,
Liang, Hai-hai,
Yang, Bao-feng (2020) and promoted apoptosis. On contrary, overexpression of Mzb1 improved mitochondrial membrane potential,
ATPXu, Dongxiao,
Gareev, Ilgiz,
Beylerli, Ozal,
Pavlov, Valentin,
Le, Huang,
Shi, Huaizhang (2024) -miR-342-3p, and hsa-miR-532-5p) and 50 key genes (such as
ATP6V1G1, KBTBD6, VIM, PA2G4, DYNLL1, METTL21A
of ketotiphen, Lydase and Aevit, as well as monotherapy with an
ATP-independent inhibitor of mitogen