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1
Regression models as a tool for genome-wide association stu..:
, In:
2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)
,
Carissimo, Annamaria
;
De Martino, Luca
;
Garzilli, Immacolata
... - p. 128-132 , 2023
Link:
https://doi.org/10.1109/MetroLivEnv56897.2023.10164037
RT T1 <cTitle>2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)</cTitle>: T1 <Title>Regression models as a tool for genome-wide association studies of Environmental Exposures and DNA Methylation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10164037&Exemplar=1&LAN=DE A1 Carissimo, Annamaria A1 De Martino, Luca A1 Garzilli, Immacolata A1 Pierri, Biancamaria A1 Esposito, Mauro A1 Angelini, Claudia YR 2023 K1 Analytical models K1 Biological system modeling K1 Linear regression K1 DNA K1 Genomics K1 Predictive models K1 Biomarkers K1 environment K1 exposure biomarkers K1 regression analysis SP 128 OP 132 LK http://dx.doi.org/https://doi.org/10.1109/MetroLivEnv56897.2023.10164037 DO https://doi.org/10.1109/MetroLivEnv56897.2023.10164037 SF ELIB - SuUB Bremen
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