Johnson, N.,
Maguire, S.,
Morra, A.,
Kapoor, P.M.,
Tomczyk, K.,
Jones, M.E.,
Schoemaker, M.J.,
Gilham, C.,
Bolla, M.K.,
Wang, Q.,
Bermisheva, M. (2021) in the aetiology of breast cancer. The aim of this
analysis was to identify genetic variants that are
associated of neurotransmitter genes can impact eating behavior. The aim of this study was to detect the
associations between
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Gareev, Ilgiz,
Beylerli, Ozal,
Pavlov, Valentin,
Le, Huang,
Shi, Huaizhang (2024) medical facilities. This study seeks to discern the pivotal microRNAs (miRNAs) and genes
associatedObjectives. To study predictors of adverse outcomes in ischemic stroke
associated with COVID-19
Wang, Chunlei,
Beylerli, Ozal,
Gu, Yan,
Xu, Shancai,
Ji, Zhiyong,
Ilyasova, Tatiana,
Gareev, Ilgiz,
Chekhonin, Vladimir (2024) led to a significant advancement in gene expression
analysis platforms. Microarray
analysis has gained
Kazantseva, A.,
Enikeeva, R.,
Takhirova, Z.,
Davydova, Y.,
Mustafin, R.,
Malykh, S.,
Karunas, A.,
Kanapin, A.,
Khusnutdinova, E. (2023) To date, multiple efforts have been made to use genome-wide
association studies (GWAS) to untangle
LIU, Z.,
WANG, X.,
YANG, G.,
ZHONG, C.,
ZHANG, R.,
YE, J.,
ZHONG, Y.,
HU, J.,
OZAL, B.,
ZHAO, S. (2020) associated with the overall survival of patients with GBM. Through KEGG
analysis, it was found that the DEm