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Two-way mixed-effects methods for joint association analysi..:
Wang, Miaoyan
;
Roux, Fabrice
;
Bartoli, Claudia
...
Proceedings of the National Academy of Sciences of the United States of America. 115 (2018) 24 - p. E5440-E5449 , 2018
Link:
https://www.jstor.org/stable/26510129
RT Journal T1 <Title>Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes</Title> UL https://suche.suub.uni-bremen.de/peid=jstor-26510129&Exemplar=1&LAN=DE A1 Wang, Miaoyan A1 Roux, Fabrice A1 Bartoli, Claudia A1 Huard-Chauveau, Carine A1 Meyer, Christopher A1 Lee, Hana A1 Roby, Dominique A1 McPeek, Mary Sara A1 Bergelson, Joy PB National Academy of Sciences YR 2018 SN 0027-8424 SN 1091-6490 K1 statistical genetics K1 genome-wide association studies K1 mixed-effect models K1 host–pathogen interaction K1 population structure JF Proceedings of the National Academy of Sciences of the United States of America VO 115 IS 24 SP E5440 OP E5449 LK http://dx.doi.org/https://www.jstor.org/stable/26510129 DO https://www.jstor.org/stable/26510129 SF ELIB - SuUB Bremen
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